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    <title>DEV Community: alexmorgan</title>
    <description>The latest articles on DEV Community by alexmorgan (@alexmorgantech).</description>
    <link>https://dev.to/alexmorgantech</link>
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      <title>DEV Community: alexmorgan</title>
      <link>https://dev.to/alexmorgantech</link>
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    <item>
      <title>Building a LangGraph Agent from Scratch: A How-To Guide</title>
      <dc:creator>alexmorgan</dc:creator>
      <pubDate>Tue, 17 Feb 2026 20:30:53 +0000</pubDate>
      <link>https://dev.to/alexmorgantech/building-a-langgraph-agent-from-scratch-a-how-to-guide-13c8</link>
      <guid>https://dev.to/alexmorgantech/building-a-langgraph-agent-from-scratch-a-how-to-guide-13c8</guid>
      <description>&lt;blockquote&gt;
&lt;p&gt;Originally published on FuturPulse: &lt;a href="https://futurpulse.com/building-a-langgraph-agent-from-scratch-a-how-to-guide/?utm_source=devto&amp;amp;utm_medium=syndication&amp;amp;utm_campaign=nea&amp;amp;utm_content=20260217_202813_futurepulse_01" rel="noopener noreferrer"&gt;Building a LangGraph Agent from Scratch: A How-To Guide&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;h1&gt;
  
  
  Building a LangGraph Agent from Scratch: A How-To Guide
&lt;/h1&gt;

&lt;p&gt;&lt;strong&gt;Key Takeaways&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;  LangGraph is a framework for creating AI agents using graph structures to represent states.&lt;/li&gt;
&lt;li&gt;  Agents improve decision-making and memory for complex problem-solving in AI applications.&lt;/li&gt;
&lt;li&gt;  Nodes in LangGraph define the agent's state, while edges establish transitions between these states.&lt;/li&gt;
&lt;li&gt;  Necessary libraries must be installed and an API key set up for effective utilization of LangGraph.&lt;/li&gt;
&lt;li&gt;  Using the @tool decorator, LangGraph enables agents to fetch information needed for effective responses.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F7ll758l7ww3zc01ok13y.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F7ll758l7ww3zc01ok13y.jpg" alt="Building a LangGraph Agent from Scratch" width="800" height="517"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Building a LangGraph Agent from Scratch — Source: towardsdatascience.com&lt;/p&gt;

&lt;h2&gt;
  
  
  What We Know So Far
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Understanding LangGraph
&lt;/h4&gt;

&lt;p&gt;LangGraph agent — LangGraph is a powerful framework designed for creating AI agents that leverage graphs comprising nodes and edges to represent various states and transitions. This structure allows for enhanced interaction and decision-making capabilities, positioning LangGraph as a robust tool for AI development.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fncfxcdbbmurbeoee9oqy.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fncfxcdbbmurbeoee9oqy.png" alt="Building a LangGraph Agent from Scratch" width="800" height="170"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;According to available evidence, agents introduced by LangGraph extend standard LLM (Large Language Model) functions by incorporating state, memory, and decision-making capabilities. This enables a more advanced way of handling complex problem-solving situations.&lt;/p&gt;

&lt;h4&gt;
  
  
  Graph Structures
&lt;/h4&gt;

&lt;p&gt;In the context of LangGraph, nodes encapsulate the agent's evolving state, while edges delineate the control flow connecting these nodes. This unique approach fosters flexibility and adaptability in agent behavior as the situations change.&lt;/p&gt;

&lt;p&gt;As noted, LangGraph can efficiently manage intricate graphs and decision chains, rendering it suitable for large-scale projects that demand systematic management of various states.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key Details and Context
&lt;/h2&gt;

&lt;h3&gt;
  
  
  More Details from the Release
&lt;/h3&gt;

&lt;p&gt;The final output of a LangGraph agent can be customized based on user input and the tools defined in the graph.&lt;/p&gt;

&lt;p&gt;To build a LangGraph, nodes are added using the add_node() method and edges with the add_edge() method.&lt;/p&gt;

&lt;p&gt;LangGraph can handle complex graphs and decision chains effectively, making it suitable for larger projects.&lt;/p&gt;

&lt;p&gt;Tools in LangGraph are defined using a function with a @tool decorator, helping agents retrieve necessary information for answering questions.&lt;/p&gt;

&lt;p&gt;The installation of necessary libraries and setting up an API key is required to utilize LangGraph effectively.&lt;/p&gt;

&lt;p&gt;In LangGraph, nodes represent the agent's state, which evolves over time, while edges define the control flow between nodes.&lt;/p&gt;

&lt;p&gt;Agents introduce state, decision-making, and memory capabilities to address complex problem-solving beyond standard LLM training.&lt;/p&gt;

&lt;p&gt;LangGraph is a framework used for creating agents, utilizing graphs with nodes and edges to represent states and transitions.&lt;/p&gt;

&lt;p&gt;The final output of a LangGraph agent can be customized based on user input and the tools defined in the graph.&lt;/p&gt;

&lt;p&gt;To build a LangGraph, nodes are added using the add_node() method and edges with the add_edge() method.&lt;/p&gt;

&lt;p&gt;LangGraph can handle complex graphs and decision chains effectively, making it suitable for larger projects.&lt;/p&gt;

&lt;p&gt;Tools in LangGraph are defined using a function with a @tool decorator, helping agents retrieve necessary information for answering questions.&lt;/p&gt;

&lt;p&gt;The installation of necessary libraries and setting up an API key is required to utilize LangGraph effectively.&lt;/p&gt;

&lt;p&gt;In LangGraph, nodes represent the agent's state, which evolves over time, while edges define the control flow between nodes.&lt;/p&gt;

&lt;p&gt;Agents introduce state, decision-making, and memory capabilities to address complex problem-solving beyond standard LLM training.&lt;/p&gt;

&lt;p&gt;LangGraph is a framework used for creating agents, utilizing graphs with nodes and edges to represent states and transitions.&lt;/p&gt;

&lt;h4&gt;
  
  
  Getting Started
&lt;/h4&gt;

&lt;p&gt;Building a LangGraph agent begins with installing necessary libraries and obtaining an API key, setting the stage for effective utilization of the framework. This initial step is crucial as it lays the groundwork for smooth development and implementation.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fbjapkfjj8nqv5099dner.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fbjapkfjj8nqv5099dner.png" alt="Getting first experience with LangGraph" width="800" height="224"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Once the setup is complete, the construction of the graph can commence. Essential commands involve adding nodes with the &lt;code&gt;add_node()&lt;/code&gt; method and connecting these nodes with the &lt;code&gt;add_edge()&lt;/code&gt; method, allowing for a structured and purpose-driven approach to agent development.&lt;/p&gt;

&lt;h4&gt;
  
  
  Utilizing Tools
&lt;/h4&gt;

&lt;p&gt;In LangGraph, tools are defined using a function marked with the &lt;code&gt;@tool&lt;/code&gt; decorator. This allows the created agents to access and retrieve the information necessary for responding to user queries, making agent interactions seamless and efficient.&lt;/p&gt;

&lt;p&gt;The agility and flexibility of LangGraph agents, enhanced through the use of these tools, ensure that they can handle a wide range of scenarios, adapting to specific user needs and situations.&lt;/p&gt;

&lt;h2&gt;
  
  
  What Happens Next
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Future Developments
&lt;/h4&gt;

&lt;p&gt;The ongoing development of LangGraph signifies a shift towards more capable AI agents, which can process larger and more complex data sets. This capability is essential for addressing more nuanced tasks and challenges in AI applications.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fdbjr30o0n699cpewsky4.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fdbjr30o0n699cpewsky4.jpg" alt="Building a LangGraph Agent from Scratch" width="800" height="450"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;As LangGraph continues to evolve, enhancements in decision-making and state management are anticipated, reflecting an industry trend towards smarter and more responsive AI tools.&lt;/p&gt;

&lt;h4&gt;
  
  
  Broader Implications
&lt;/h4&gt;

&lt;p&gt;The introduction of graph-based structures within AI frameworks like LangGraph presents a myriad of possibilities for industries relying on AI-driven solutions. Enhanced memory and decision-making capabilities is expected to lead to groundbreaking advancements in fields such as healthcare and customer service.&lt;/p&gt;

&lt;p&gt;The potential for LangGraph to revolutionize agent development underlines the significance of embracing these technologies for future AI endeavors.&lt;/p&gt;

&lt;h2&gt;
  
  
  Why This Matters
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Significance of LangGraph
&lt;/h4&gt;

&lt;p&gt;LangGraph represents a significant advancement in the creation of AI agents. By facilitating the representation of states and transitions through graphs, it provides a clear methodology for tackling complex problems in AI.&lt;/p&gt;

&lt;p&gt;Encouraging a shift in how agents are designed and utilized, LangGraph not only enhances efficiency but also opens doors to innovative applications across various sectors.&lt;/p&gt;

&lt;h4&gt;
  
  
  Continued Research and Exploration
&lt;/h4&gt;

&lt;p&gt;The practices established with LangGraph reflect a broader trend in AI development, where adaptability and efficiency are paramount. Continuous research into graph-based frameworks is expected to likely yield further improvements in agent capabilities.&lt;/p&gt;

&lt;p&gt;Staying abreast of developments in this area is crucial, as LangGraph may become integral to the functioning of future AI systems.&lt;/p&gt;

&lt;h2&gt;
  
  
  FAQ
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Common Inquiries
&lt;/h4&gt;

&lt;p&gt;If you're new to LangGraph or curious about its functionalities, here are some frequently asked questions to help clarify its applications and usage:&lt;/p&gt;

&lt;h4&gt;
  
  
  What is LangGraph used for?
&lt;/h4&gt;

&lt;p&gt;LangGraph is extensively utilized to create innovative AI agents that efficiently manage various states and transitions, fostering improved interactions and responses.&lt;/p&gt;

&lt;h2&gt;
  
  
  Sources
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;  &lt;a href="https://towardsdatascience.com/building-a-langgraph-agent-from-scratch" rel="noopener noreferrer"&gt;Building a LangGraph Agent from Scratch&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://towardsdatascience.com/category/artificial-intelligence/agentic-ai" rel="noopener noreferrer"&gt;Agentic AI | Towards Data Science&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://towardsdatascience.com/author/slavahead" rel="noopener noreferrer"&gt;Vyacheslav Efimov, Author at Towards Data Science&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://towardsdatascience.com/tag/ai-agent" rel="noopener noreferrer"&gt;Ai Agent | Towards Data Science&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://towardsdatascience.com/tag/langgraph" rel="noopener noreferrer"&gt;Langgraph | Towards Data Science&lt;/a&gt;
&lt;/li&gt;
&lt;/ul&gt;




&lt;p&gt;Originally published on &lt;a href="https://futurpulse.com/building-a-langgraph-agent-from-scratch-a-how-to-guide/" rel="noopener noreferrer"&gt;FuturPulse&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;More from FuturPulse: &lt;a href="https://futurpulse.com" rel="noopener noreferrer"&gt;https://futurpulse.com&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Browse AI on FuturPulse: &lt;a href="https://futurpulse.com/category/ai/" rel="noopener noreferrer"&gt;https://futurpulse.com/category/ai/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>news</category>
      <category>agents</category>
      <category>langgraphframework</category>
    </item>
    <item>
      <title>Building Human-in-the-Loop AI Agents with LangGraph and Streamlit</title>
      <dc:creator>alexmorgan</dc:creator>
      <pubDate>Tue, 17 Feb 2026 15:46:09 +0000</pubDate>
      <link>https://dev.to/alexmorgantech/building-human-in-the-loop-ai-agents-with-langgraph-and-streamlit-4ea8</link>
      <guid>https://dev.to/alexmorgantech/building-human-in-the-loop-ai-agents-with-langgraph-and-streamlit-4ea8</guid>
      <description>&lt;blockquote&gt;
&lt;p&gt;Originally published on FuturPulse: &lt;a href="https://futurpulse.com/building-human-in-the-loop-ai-agents-with-langgraph-and-streamlit/?utm_source=devto&amp;amp;utm_medium=syndication&amp;amp;utm_campaign=nea&amp;amp;utm_content=20260217_154347_futurepulse_02" rel="noopener noreferrer"&gt;Building Human-in-the-Loop AI Agents with LangGraph and Streamlit&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;h1&gt;
  
  
  Building Human-in-the-Loop AI Agents with LangGraph and Streamlit
&lt;/h1&gt;

&lt;p&gt;&lt;strong&gt;Key Takeaways&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;  LangGraph and Streamlit enable the development of AI agents that involve explicit user approval.&lt;/li&gt;
&lt;li&gt;  Kimi Claw allows developers to design AI agents emphasizing specialized skills and functionalities.&lt;/li&gt;
&lt;li&gt;  WebMCP enhances user interactivity by facilitating direct communication between web interfaces and AI agents.&lt;/li&gt;
&lt;li&gt;  Human-in-the-loop mechanisms ensure better quality of decision-making in AI interactions.&lt;/li&gt;
&lt;li&gt;  Rapid prototyping of user interfaces for AI agents is possible with Streamlit, allowing for effective user approval processes.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F0db7hvgl3h4b2ntrayb9.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F0db7hvgl3h4b2ntrayb9.png" alt="How to Build Human-in-the-Loop Plan-and-Execute AI Agents with Explicit User Approval Using LangGraph and Streamlit" width="800" height="450"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;How to Build Human-in-the-Loop Plan-and-Execute AI Agents with Explicit User Approval Using LangGraph and Streamlit — Source: marktechpost.com&lt;/p&gt;

&lt;h2&gt;
  
  
  What We Know So Far
&lt;/h2&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F5xmmz10ax9mkqa7rvbz2.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F5xmmz10ax9mkqa7rvbz2.png" alt="Logo" width="300" height="99"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;h4&gt;
  
  
  Introducing Human-in-the-Loop AI Agents
&lt;/h4&gt;

&lt;p&gt;The advancement of AI technologies has led to the rise of human-in-the-loop (HITL) systems, which require user approval for actions taken by AI agents. Tools like LangGraph and Streamlit empower developers to create these interactive AI interfaces, enhancing user engagement and trust. According to MarkTechPost, "LangGraph and Streamlit can be used to build AI agents that require user approval," allowing for better supervision of AI behavior.&lt;/p&gt;

&lt;h4&gt;
  
  
  Significance of User Approval
&lt;/h4&gt;

&lt;p&gt;Validating actions performed by AI agents through explicit user interaction is crucial. This HITL method ensures that users remain in control, which is essential for the credibility of AI systems. The explicit user approval in AI interactions ensures that actions taken are validated by users and align with their expectations, lifting the veil on AI operations.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key Details and Context
&lt;/h2&gt;

&lt;h3&gt;
  
  
  More Details from the Release
&lt;/h3&gt;

&lt;p&gt;Gemini 3 Deep Think's advancements in reasoning can be leveraged in building more efficient AI agents.&lt;/p&gt;

&lt;p&gt;Integrating AI capabilities with tools like Kimi Claw provides a broader range of functionalities for AI agents.&lt;/p&gt;

&lt;p&gt;Using Streamlit allows for rapid prototyping of AI agent applications with user interface elements that can handle approvals.&lt;/p&gt;

&lt;p&gt;Developing AI agents with human-in-the-loop mechanisms can improve the quality of decision-making.&lt;/p&gt;

&lt;p&gt;The explicit user approval in AI interactions ensures that actions taken by AI agents are validated by users.&lt;/p&gt;

&lt;p&gt;WebMCP facilitates direct communication between websites and AI agents, enhancing user interactivity and approval processes.&lt;/p&gt;

&lt;p&gt;Kimi Claw environment offers a space for developers to design AI agents with a focus on explicit skills.&lt;/p&gt;

&lt;p&gt;LangGraph and Streamlit can be used to build AI agents that require user approval.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F3ksbzvdsdj2dpdy6okwv.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F3ksbzvdsdj2dpdy6okwv.png" alt="Logo" width="800" height="264"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;h4&gt;
  
  
  The Role of Kimi Claw
&lt;/h4&gt;

&lt;p&gt;Kimi Claw serves as a development environment focusing on specialized skills for AI agents. It allows developers to harness over "5,000 community skills and 40GB of cloud storage," streamlining the design process. This integration opens opportunities for developers to enhance the capabilities of their AI applications.&lt;/p&gt;

&lt;h4&gt;
  
  
  WebMCP's Functionality
&lt;/h4&gt;

&lt;p&gt;Another innovative tool, WebMCP, enables direct communication between users and AI agents. This structured interaction increases the approval process's efficiency and enhances interactivity. By facilitating this direct link, WebMCP clearly marks the evolution of conventional interaction methods and responsibilities between AI and users.&lt;/p&gt;

&lt;h2&gt;
  
  
  What Happens Next
&lt;/h2&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fbgf54g1tz5rzhn1ng5m4.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fbgf54g1tz5rzhn1ng5m4.png" alt="How to Build Human-in-the-Loop Plan-and-Execute AI Agents with Explicit User Approval Using LangGraph and Streamlit" width="324" height="160"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;h4&gt;
  
  
  Integrating Advanced AI Models
&lt;/h4&gt;

&lt;p&gt;With advancements in AI reasoning, especially from tools like Google's Gemini 3 Deep Think, the efficiency and decision-making capabilities of human-in-the-loop systems are set to improve. Gemini 3 has demonstrated exceptional performance, hitting 84.6% on ARC-AGI-2, highlighting the potential of integrating advanced AI models with HITL frameworks.&lt;/p&gt;

&lt;h4&gt;
  
  
  Future Development Trends
&lt;/h4&gt;

&lt;p&gt;A focus on rapid prototyping using Streamlit is expected, enabling even quicker iterations in creating user-friendly interfaces for AI systems. This simplification in UI development empowers users to be involved without extensive technical knowledge and promotes wider adoption of AI technologies.&lt;/p&gt;

&lt;h2&gt;
  
  
  Why This Matters
&lt;/h2&gt;

&lt;p&gt;Adopting human-in-the-loop AI agents allows businesses to attain higher reliability and user satisfaction. The mechanisms ensure improved decision-making quality and foster trust in AI applications. As models evolve with deeper reasoning capabilities, their ability to operate in collaboration with human oversight is expected to solidify their importance in various sectors.&lt;/p&gt;

&lt;h4&gt;
  
  
  User-Centric AI Development
&lt;/h4&gt;

&lt;p&gt;The shift towards user-centric AI is profound. As AI agents increasingly incorporate human feedback mechanisms, developers must prioritize transparency and communication. This ensures that AI remains a tool guiding human decisions rather than replacing them.&lt;/p&gt;

&lt;h2&gt;
  
  
  FAQ
&lt;/h2&gt;

&lt;h4&gt;
  
  
  What is a human-in-the-loop AI agent?
&lt;/h4&gt;

&lt;p&gt;A human-in-the-loop AI agent involves users in validation processes to approve actions taken by the AI.&lt;/p&gt;

&lt;h4&gt;
  
  
  How does LangGraph contribute to AI development?
&lt;/h4&gt;

&lt;p&gt;LangGraph provides tools to build AI agents that require user input and approval, enhancing decision-making.&lt;/p&gt;

&lt;h4&gt;
  
  
  What is the role of WebMCP in AI interactions?
&lt;/h4&gt;

&lt;p&gt;WebMCP enables AI agents to interact directly with website elements for improved user approval and engagement.&lt;/p&gt;

&lt;h4&gt;
  
  
  Can Kimi Claw enhance AI capabilities?
&lt;/h4&gt;

&lt;p&gt;Yes, Kimi Claw offers a platform for integrating various skills, making AI agents more functional and adaptable.&lt;/p&gt;

&lt;h4&gt;
  
  
  Why is user approval important in AI agents?
&lt;/h4&gt;

&lt;p&gt;User approval is crucial to ensure actions taken by AI agents align with user expectations and enhance trust in AI systems.&lt;/p&gt;

&lt;h2&gt;
  
  
  Sources
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;  &lt;a href="https://marktechpost.com/category/editors-pick/ai-agents" rel="noopener noreferrer"&gt;AI Agents Category - MarkTechPost&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://marktechpost.com/2026/02/15/moonshot-ai-launches-kimi-claw-native-openclaw-on-kimi-com-with-5000-community-skills-and-40gb-cloud-storage-now" rel="noopener noreferrer"&gt;Moonshot AI Launches Kimi Claw: Native OpenClaw on Kimi.com with 5,000 Community Skills and 40GB Cloud Storage Now&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://marktechpost.com/2026/02/14/google-ai-introduces-the-webmcp-to-enable-direct-and-structured-website-interactions-for-new-ai-agents" rel="noopener noreferrer"&gt;Google AI Introduces the WebMCP to Enable Direct and Structured Website Interactions for New AI Agents&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://marktechpost.com/2026/02/12/is-this-agi-googles-gemini-3-deep-think-shatters-humanitys-last-exam-and-hits-84-6-on-arc-agi-2-performance-today" rel="noopener noreferrer"&gt;Is This AGI? Google’s Gemini 3 Deep Think Shatters Humanity’s Last Exam And Hits 84.6% On ARC-AGI-2 Performance Today&lt;/a&gt;
&lt;/li&gt;
&lt;/ul&gt;




&lt;p&gt;Originally published on &lt;a href="https://futurpulse.com/building-human-in-the-loop-ai-agents-with-langgraph-and-streamlit/" rel="noopener noreferrer"&gt;FuturPulse&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;More from FuturPulse: &lt;a href="https://futurpulse.com" rel="noopener noreferrer"&gt;https://futurpulse.com&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Browse AI on FuturPulse: &lt;a href="https://futurpulse.com/category/ai/" rel="noopener noreferrer"&gt;https://futurpulse.com/category/ai/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>news</category>
      <category>langgraph</category>
      <category>streamlit</category>
    </item>
    <item>
      <title>Understanding AI-Enhanced Cybercrime and Safe AI Assistants</title>
      <dc:creator>alexmorgan</dc:creator>
      <pubDate>Tue, 17 Feb 2026 10:40:03 +0000</pubDate>
      <link>https://dev.to/alexmorgantech/understanding-ai-enhanced-cybercrime-and-safe-ai-assistants-j98</link>
      <guid>https://dev.to/alexmorgantech/understanding-ai-enhanced-cybercrime-and-safe-ai-assistants-j98</guid>
      <description>&lt;blockquote&gt;
&lt;p&gt;Originally published on FuturPulse: &lt;a href="https://futurpulse.com/understanding-ai-enhanced-cybercrime-and-safe-ai-assistants/?utm_source=devto&amp;amp;utm_medium=syndication&amp;amp;utm_campaign=nea&amp;amp;utm_content=20260217_103720_futurepulse_01" rel="noopener noreferrer"&gt;Understanding AI-Enhanced Cybercrime and Safe AI Assistants&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;h1&gt;
  
  
  Understanding AI-Enhanced Cybercrime and Safe AI Assistants
&lt;/h1&gt;

&lt;p&gt;&lt;strong&gt;Key Takeaways&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;  AI tools significantly reduce the time for hackers to execute cyber attacks.&lt;/li&gt;
&lt;li&gt;  The volume and speed of scams are rapidly increasing due to AI capabilities.&lt;/li&gt;
&lt;li&gt;  Experts warn that fully automated cyber attacks may soon become a reality.&lt;/li&gt;
&lt;li&gt;  OpenClaw raises potential data security issues when users create custom AI assistants.&lt;/li&gt;
&lt;li&gt;  Prompt injection vulnerabilities are a critical risk to the safety of AI assistants.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fts2ns27uujh68t9v23uo.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fts2ns27uujh68t9v23uo.jpg" alt="AI-Enhanced Cybercrime and Secure AI Assistants" width="800" height="400"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;AI-Enhanced Cybercrime and Secure AI Assistants — Source: technologyreview.com&lt;/p&gt;

&lt;h2&gt;
  
  
  What We Know So Far
&lt;/h2&gt;

&lt;h4&gt;
  
  
  The Rise of AI in Cybercrime
&lt;/h4&gt;

&lt;p&gt;Cybercrime is evolving rapidly with the adoption of AI tools. Hackers are now able to reduce the time and effort needed to carry out attacks, significantly increasing their effectiveness. As a result, traditional defenses are becoming less effective.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fqb4gc3ppq288yp6s1e15.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fqb4gc3ppq288yp6s1e15.png" alt="AI-Enhanced Cybercrime and Secure AI Assistants" width="800" height="450"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;According to experts, the use of AI has led to an alarming increase in both the speed and volume of scams. Security researchers note that scammers are leveraging AI to create more convincing and widespread fraudulent activities.&lt;/p&gt;

&lt;h4&gt;
  
  
  Automated Attacks on the Horizon
&lt;/h4&gt;

&lt;p&gt;Some experts are sounding the alarm about the potential of AI to enable fully automated attacks. As these technologies advance, the prospect of automated cyber encounters becoming a reality is no longer farfetched.&lt;/p&gt;

&lt;p&gt;For instance, the development of tools like &lt;strong&gt;OpenClaw&lt;/strong&gt; allows users to build personalized AI assistants. However, this innovation also raises significant concerns about data security.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key Details and Context
&lt;/h2&gt;

&lt;h3&gt;
  
  
  More Details from the Release
&lt;/h3&gt;

&lt;p&gt;Even well-trained LLMs may still make mistakes that can be exploited by malicious actors.&lt;/p&gt;

&lt;p&gt;The academic community is actively researching defenses against prompt injection vulnerabilities in AI.&lt;/p&gt;

&lt;p&gt;Criminals are leveraging deepfake technologies to impersonate people in scams.&lt;/p&gt;

&lt;p&gt;Prompt injection is a potential vulnerability that might become a serious problem for AI assistants.&lt;/p&gt;

&lt;p&gt;OpenClaw allows users to create bespoke AI assistants, but raises serious data security concerns.&lt;/p&gt;

&lt;p&gt;Some experts warn that AI may soon be able to carry out fully automated attacks.&lt;/p&gt;

&lt;p&gt;AI is increasing the speed and volume of scams, according to security researchers.&lt;/p&gt;

&lt;p&gt;Hackers are using AI tools to reduce the time and effort needed to carry out cyber attacks.&lt;/p&gt;

&lt;p&gt;Even well-trained LLMs may still make mistakes that can be exploited by malicious actors.&lt;/p&gt;

&lt;p&gt;The academic community is actively researching defenses against prompt injection vulnerabilities in AI.&lt;/p&gt;

&lt;p&gt;Criminals are leveraging deepfake technologies to impersonate people in scams.&lt;/p&gt;

&lt;p&gt;Prompt injection is a potential vulnerability that might become a serious problem for AI assistants.&lt;/p&gt;

&lt;p&gt;OpenClaw allows users to create bespoke AI assistants, but raises serious data security concerns.&lt;/p&gt;

&lt;p&gt;Some experts warn that AI may soon be able to carry out fully automated attacks.&lt;/p&gt;

&lt;p&gt;AI is increasing the speed and volume of scams, according to security researchers.&lt;/p&gt;

&lt;p&gt;Hackers are using AI tools to reduce the time and effort needed to carry out cyber attacks.&lt;/p&gt;

&lt;h4&gt;
  
  
  Vulnerabilities in AI Assistants
&lt;/h4&gt;

&lt;p&gt;One of the most pressing vulnerabilities is known as &lt;strong&gt;prompt injection&lt;/strong&gt;, which could allow malicious actors to manipulate AI responses to suit their needs. This risk is highly concerning to both developers and users alike.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F95q2dxx04sy9fhj9y5k6.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F95q2dxx04sy9fhj9y5k6.jpg" alt="AI-Enhanced Cybercrime and Secure AI Assistants" width="800" height="400"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;blockquote&gt;
&lt;p&gt;“Tools like this are incentivizing malicious actors to attack a much broader population,”&lt;/p&gt;

&lt;p&gt;— &lt;a href="https://technologyreview.com/2026/02/11/1132768/is-a-secure-ai-assistant-possible" rel="noopener noreferrer"&gt;technologyreview.com&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;p&gt;Furthermore, even well-trained language models (LLMs) can make mistakes that may be exploited by hackers, drawing attention to critical flaws in current systems.&lt;/p&gt;

&lt;h4&gt;
  
  
  Leveraging Deepfake Technologies
&lt;/h4&gt;

&lt;p&gt;Additionally, AI-driven technologies, such as &lt;strong&gt;deepfake&lt;/strong&gt; capabilities, have made it easier for criminals to impersonate individuals. This has resulted in a surge in scams that utilize these technologies to deceive unsuspecting victims.&lt;/p&gt;

&lt;p&gt;In response, the academic community is actively engaging in research to devise defenses against these vulnerabilities, striving to safeguard AI-driven systems.&lt;/p&gt;

&lt;h2&gt;
  
  
  What Happens Next
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Preventive Measures and Solutions
&lt;/h4&gt;

&lt;p&gt;The rise of AI-enhanced cybercrime necessitates immediate action from security experts and organizations. Research into effective defenses against prompt injection vulnerabilities needs to be prioritized.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fhjunbk9qn1i4ogmdhqis.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fhjunbk9qn1i4ogmdhqis.jpg" alt="an infant LLM agent with lobster claw hands in a playpen" width="800" height="450"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;The academic and tech communities must collaborate to develop advanced security measures that would bolster the integrity of both user data and AI assistants.&lt;/p&gt;

&lt;h4&gt;
  
  
  Future of AI in Cybersecurity
&lt;/h4&gt;

&lt;p&gt;As AI technologies continue to evolve, the future landscape of cybersecurity is unpredictable. Experts agree on the urgent need to establish robust frameworks that can better detect and prevent these emerging threats.&lt;/p&gt;

&lt;p&gt;Moreover, ongoing innovation in the secure AI assistant space is expected to dictate the effectiveness of future defenses against such high-tech cyber threats.&lt;/p&gt;

&lt;h2&gt;
  
  
  Why This Matters
&lt;/h2&gt;

&lt;h4&gt;
  
  
  The Broader Impact on Society
&lt;/h4&gt;

&lt;p&gt;The implications of AI-enhanced cybercrime extend beyond individual users. Organizations face increasing scrutiny regarding how they safeguard sensitive information from AI-driven fraud.&lt;/p&gt;

&lt;blockquote&gt;
&lt;p&gt;“We don’t really have a silver-bullet defense right now,”&lt;/p&gt;

&lt;p&gt;— Dawn Song, &lt;a href="https://technologyreview.com/2026/02/11/1132768/is-a-secure-ai-assistant-possible" rel="noopener noreferrer"&gt;technologyreview.com&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;p&gt;This reality spotlights the urgent demand for more rigorous regulations and practices that can mitigate the associated risks in the digital landscape.&lt;/p&gt;

&lt;h4&gt;
  
  
  Moving Towards Greater Security
&lt;/h4&gt;

&lt;p&gt;Creating a secure AI assistant is not merely a technical challenge; it is now a societal necessity. As AI continues to evolve, building trust in these technologies is expected to be crucial for the stability of digital interactions.&lt;/p&gt;

&lt;h2&gt;
  
  
  FAQ
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Common Questions Addressed
&lt;/h4&gt;

&lt;p&gt;What is AI-enhanced cybercrime? AI-enhanced cybercrime refers to cyber attacks that leverage AI tools to increase efficiency and effectiveness.&lt;/p&gt;

&lt;p&gt;Additionally, prompt injection can exploit AI assistants, leading to incorrect responses or malicious actions.&lt;/p&gt;

&lt;h4&gt;
  
  
  Concerns About Deepfakes
&lt;/h4&gt;

&lt;p&gt;What role do deepfake technologies play in scams? Criminals use deepfake technologies to impersonate individuals for fraudulent activities.&lt;/p&gt;

&lt;p&gt;What are the security concerns with OpenClaw? OpenClaw allows personalized AI assistants but raises serious concerns about data security and privacy.&lt;/p&gt;

&lt;h2&gt;
  
  
  Sources
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;  &lt;a href="https://technologyreview.com/2026/02/12/1132819/the-download-ai-enhanced-cybercrime-and-secure-ai-assistants" rel="noopener noreferrer"&gt;The Download: AI-enhanced cybercrime, and secure AI assistants&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://technologyreview.com/2026/02/11/1132768/is-a-secure-ai-assistant-possible" rel="noopener noreferrer"&gt;Is a secure AI assistant possible?&lt;/a&gt;
&lt;/li&gt;
&lt;/ul&gt;




&lt;p&gt;Originally published on &lt;a href="https://futurpulse.com/understanding-ai-enhanced-cybercrime-and-safe-ai-assistants/" rel="noopener noreferrer"&gt;FuturPulse&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;More from FuturPulse: &lt;a href="https://futurpulse.com" rel="noopener noreferrer"&gt;https://futurpulse.com&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Browse AI on FuturPulse: &lt;a href="https://futurpulse.com/category/ai/" rel="noopener noreferrer"&gt;https://futurpulse.com/category/ai/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>news</category>
      <category>secureaiassistants</category>
      <category>openclaw</category>
    </item>
    <item>
      <title>Google DeepMind's Framework for Safer AI Delegation in Future Economies</title>
      <dc:creator>alexmorgan</dc:creator>
      <pubDate>Tue, 17 Feb 2026 05:56:36 +0000</pubDate>
      <link>https://dev.to/alexmorgantech/google-deepminds-framework-for-safer-ai-delegation-in-future-economies-4f9n</link>
      <guid>https://dev.to/alexmorgantech/google-deepminds-framework-for-safer-ai-delegation-in-future-economies-4f9n</guid>
      <description>&lt;blockquote&gt;
&lt;p&gt;Originally published on FuturPulse: &lt;a href="https://futurpulse.com/google-deepminds-framework-for-safer-ai-delegation-in-future-economies/?utm_source=devto&amp;amp;utm_medium=syndication&amp;amp;utm_campaign=nea&amp;amp;utm_content=20260217_055324_futurepulse_01" rel="noopener noreferrer"&gt;Google DeepMind's Framework for Safer AI Delegation in Future Economies&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;h1&gt;
  
  
  Google DeepMind's Framework for Safer AI Delegation in Future Economies — intelligent AI delegation
&lt;/h1&gt;

&lt;p&gt;intelligent AI delegation — Key Takeaways&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;  Google DeepMind suggests implementing human-like organizational principles in AI agents.&lt;/li&gt;
&lt;li&gt;  The intelligent delegation framework includes risk assessment and capability matching to enhance safety.&lt;/li&gt;
&lt;li&gt;  Essential to this framework is the contract-first decomposition, allowing task verification post-assignment.&lt;/li&gt;
&lt;li&gt;  Delegation Capability Tokens (DCTs) are introduced to improve security in AI delegation.&lt;/li&gt;
&lt;li&gt;  The framework aims to enhance the scalability of AI agents within the emerging agentic web.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F1v3f6jiss4f0jwlo3p7t.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F1v3f6jiss4f0jwlo3p7t.png" alt="Google DeepMind Proposes New Framework for Intelligent AI Delegation to Secure the Emerging Agentic Web for Future Economies" width="800" height="571"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Google DeepMind Proposes New Framework for Intelligent AI Delegation to Secure the Emerging Agentic Web for Future Economies — Source: marktechpost.com&lt;/p&gt;

&lt;h2&gt;
  
  
  What We Know So Far
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Introduction to the Framework
&lt;/h4&gt;

&lt;p&gt;Google DeepMind has recently proposed a robust framework for intelligent AI delegation aimed at ensuring safety in the rapidly evolving Agentic Web. This strategic initiative supports the integration of AI into daily operations, seeking to instill human-like organizational principles into AI agents. This step is crucial for enabling more effective, safe, and meaningful collaborations with human users.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F5xmmz10ax9mkqa7rvbz2.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F5xmmz10ax9mkqa7rvbz2.png" alt="Logo" width="300" height="99"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Through this framework, Google DeepMind is addressing the complex challenges surrounding AI interactions. By instilling principles that are akin to human organizational behavior, AI can better understand and navigate the tasks assigned to it. This is particularly important as the need for AI systems that effectively communicate and coordinate with humans increases.&lt;/p&gt;

&lt;p&gt;Key to this proposal is the incorporation of risk assessments and capability matching, which are meant to enhance the overall safety and operational efficacy of AI delegations. Ensuring that AI systems comprehend their limitations and strengths is paramount for creating a trustworthy environment.&lt;/p&gt;

&lt;p&gt;Analyzing AI performance in varied contexts allows for more prudent decision-making, which ultimately contributes to enhanced safety standards in AI interactions. By updating traditional approaches, Google DeepMind is positioned to lead in formulating responsible AI practices.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key Details and Context
&lt;/h2&gt;

&lt;h4&gt;
  
  
  More Details from the Release
&lt;/h4&gt;

&lt;p&gt;The integration of AI with structured website interactions is a significant step in improving AI agent functionality. Understanding the environment in which an AI operates helps contextualize its decisions, which is essential in creating systems that collaborate with humans seamlessly.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F3ksbzvdsdj2dpdy6okwv.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F3ksbzvdsdj2dpdy6okwv.png" alt="Logo" width="800" height="264"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;The framework suggests that accountability in delegation is transitive across delegation chains. This means that the responsibility for outcomes does not fall solely on one AI component but is shared across the entire process, fostering a culture of accountability.&lt;/p&gt;

&lt;p&gt;Current protocols are insufficient for high-stakes delegation according to DeepMind’s analysis. As tasks increase in complexity, the limitations of existing frameworks become more apparent, indicating a vital need for novel solutions.&lt;/p&gt;

&lt;p&gt;The new framework aims to expand the scalability of AI agents in the agentic web, allowing for a diverse range of interactions that improve both efficiency and efficacy. The goal is to accommodate the evolving demands placed on AI systems in various sectors.&lt;/p&gt;

&lt;p&gt;DeepMind introduces Delegation Capability Tokens (DCTs) to mitigate security risks in delegation. These tokens serve as a safeguard, ensuring that tasks assigned to AI agents are closely monitored and appropriate. By employing these tokens, DeepMind intends to foster a more secure environment for both AI and users alike.&lt;/p&gt;

&lt;p&gt;Essential to the framework is contract-first decomposition, where tasks are assigned only if outcomes can be verified. This approach emphasizes the importance of monitoring and validating AI performance, thereby deepening trust in AI systems.&lt;/p&gt;

&lt;p&gt;The new intelligent delegation framework emphasizes risk assessment and capability matching. This ensures that AI agents have the necessary skill sets for the tasks they undertake, significantly reducing potential errors.&lt;/p&gt;

&lt;h4&gt;
  
  
  Principles and Techniques
&lt;/h4&gt;

&lt;p&gt;DeepMind's framework emphasizes contract-first decomposition, allowing tasks to be assigned to AI only when outcomes can be verified post-assignment. This method is crucial for maintaining accountability across delegation chains, boosting trust in AI operations.&lt;/p&gt;

&lt;p&gt;Moreover, the proposal introduces Delegation Capability Tokens (DCTs) designed to mitigate security risks associated with delegation, thereby fortifying the interaction landscape between AI agents and users. Such innovations serve to create a more resilient framework for AI collaboration.&lt;/p&gt;

&lt;p&gt;The practice of grounding AI decisions in clear principles is vital for creating systems that are adaptable yet accountable. This is particularly essential in a rapidly changing technological landscape, where AI's role continues to evolve.&lt;/p&gt;

&lt;h2&gt;
  
  
  What Happens Next
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Implementation Strategies
&lt;/h4&gt;

&lt;p&gt;The implementation of this framework is expected to likely require a concerted effort to refine existing AI protocols. Current methods have been deemed insufficient for high-stakes delegation, making this framework a potentially transformative approach for future AI applications. Establishing best practices is expected to play a significant role in how this framework takes shape.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fcc7pax4ej3l2a1tgvedb.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fcc7pax4ej3l2a1tgvedb.png" alt="Google DeepMind Proposes New Framework for Intelligent AI Delegation to Secure the Emerging Agentic Web for Future Economies" width="800" height="342"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;As AI agents become more prevalent in various sectors, enhancing their scalability within the agentic web is expected to facilitate more complex, autonomous interactions. This initiative showcases a forward-thinking approach to address challenges in AI development by building on existing knowledge and practices.&lt;/p&gt;

&lt;p&gt;Furthermore, stakeholder engagement and collaborative efforts across the industry is expected to likely be crucial for the successful rollout of this framework. By inviting multiple perspectives, the implementation of these ideas can be enriched and tailored to meet diverse needs.&lt;/p&gt;

&lt;h2&gt;
  
  
  Why This Matters
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Significance of AI Safety
&lt;/h4&gt;

&lt;p&gt;The implications of Google DeepMind's proposed framework extend beyond mere technical advancements. By embedding risk assessments and human-like organizational principles into AI agents, the framework promises to create a safer and more reliable interaction environment.&lt;/p&gt;

&lt;p&gt;This ensures not only compliance but also enhances the overall quality of AI outputs. The focus on accountability and verification may pave the way for more extensive adoption of AI technologies in high-stakes environments, fostering a new era of trust between humans and AI systems.&lt;/p&gt;

&lt;blockquote&gt;
&lt;p&gt;"The focus on accountability and verification may pave the way for more extensive adoption of AI technologies in high-stakes environments."&lt;/p&gt;
&lt;/blockquote&gt;

&lt;h2&gt;
  
  
  FAQ
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Frequently Asked Questions
&lt;/h4&gt;

&lt;p&gt;&lt;strong&gt;What is intelligent AI delegation?&lt;/strong&gt;&lt;br&gt;&lt;br&gt;
Intelligent AI delegation refers to assigning tasks to AI agents based on their capabilities and risk assessments.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;How does Google DeepMind propose to secure AI delegations?&lt;/strong&gt;&lt;br&gt;&lt;br&gt;
By introducing Delegation Capability Tokens and employing contract-first decomposition methods.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Why is risk assessment important in AI delegation?&lt;/strong&gt;&lt;br&gt;&lt;br&gt;
It ensures that the tasks assigned to AI agents are suitable for their capabilities, enhancing safety and effectiveness.&lt;/p&gt;

&lt;h2&gt;
  
  
  Sources
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;  &lt;a href="https://marktechpost.com/2026/02/15/google-deepmind-proposes-new-framework-for-intelligent-ai-delegation-to-secure-the-emerging-agentic-web-for-future-economies" rel="noopener noreferrer"&gt;Google DeepMind Proposes New Framework for Intelligent AI Delegation to Secure the Emerging Agentic Web for Future Economies&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://marktechpost.com/category/editors-pick/agentic-ai" rel="noopener noreferrer"&gt;Agentic AI Category - MarkTechPost&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://marktechpost.com/2026/02/14/google-ai-introduces-the-webmcp-to-enable-direct-and-structured-website-interactions-for-new-ai-agents" rel="noopener noreferrer"&gt;Google AI Introduces the WebMCP to Enable Direct and Structured Website Interactions for New AI Agents&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://marktechpost.com/2026/02/12/google-deepmind-introduces-aletheia-the-ai-agent-moving-from-math-competitions-to-fully-autonomous-professional-research-discoveries" rel="noopener noreferrer"&gt;Google DeepMind Introduces Aletheia: The AI Agent Moving from Math Competitions to Fully Autonomous Professional Research Discoveries&lt;/a&gt;
&lt;/li&gt;
&lt;/ul&gt;




&lt;p&gt;Originally published on &lt;a href="https://futurpulse.com/google-deepminds-framework-for-safer-ai-delegation-in-future-economies/" rel="noopener noreferrer"&gt;FuturPulse&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;More from FuturPulse: &lt;a href="https://futurpulse.com" rel="noopener noreferrer"&gt;https://futurpulse.com&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Browse AI on FuturPulse: &lt;a href="https://futurpulse.com/category/ai/" rel="noopener noreferrer"&gt;https://futurpulse.com/category/ai/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>news</category>
      <category>googledeepmind</category>
      <category>agenticweb</category>
    </item>
    <item>
      <title>How AI Helped a Musician Regain His Voice After ALS</title>
      <dc:creator>alexmorgan</dc:creator>
      <pubDate>Tue, 17 Feb 2026 01:18:28 +0000</pubDate>
      <link>https://dev.to/alexmorgantech/how-ai-helped-a-musician-regain-his-voice-after-als-4odb</link>
      <guid>https://dev.to/alexmorgantech/how-ai-helped-a-musician-regain-his-voice-after-als-4odb</guid>
      <description>&lt;blockquote&gt;
&lt;p&gt;Originally published on FuturPulse: &lt;a href="https://futurpulse.com/how-ai-helped-a-musician-regain-his-voice-after-als/?utm_source=devto&amp;amp;utm_medium=syndication&amp;amp;utm_campaign=nea&amp;amp;utm_content=20260217_011529_futurepulse_01" rel="noopener noreferrer"&gt;How AI Helped a Musician Regain His Voice After ALS&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;h1&gt;
  
  
  How AI Helped a Musician Regain His Voice After ALS — AI voice restoration
&lt;/h1&gt;

&lt;p&gt;AI voice restoration — Key Takeaways&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;  AI tools allow musicians with ALS to recreate lost voices using old audio recordings.&lt;/li&gt;
&lt;li&gt;  Darling's experience highlights the power of voice cloning technology in overcoming speech disabilities.&lt;/li&gt;
&lt;li&gt;  ElevenLabs offers free voice cloning tools for individuals with speech difficulties, enhancing accessibility.&lt;/li&gt;
&lt;li&gt;  Synthetic voices retain natural speech patterns, significantly improving user experience compared to earlier techniques.&lt;/li&gt;
&lt;li&gt;  Voice banking, a prior technique for saving voice, has been vastly outperformed by modern AI voice clones.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fbx7ckb192kjenm3adoyp.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fbx7ckb192kjenm3adoyp.jpg" alt="ALS stole this musician’s voice. AI let him sing again." width="800" height="400"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;ALS stole this musician’s voice. AI let him sing again. — Source: technologyreview.com&lt;/p&gt;

&lt;h2&gt;
  
  
  What We Know So Far
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Diagnosis and Decline
&lt;/h4&gt;

&lt;p&gt;AI voice restoration—after being diagnosed with ALS, musician Nick Cocking observed a steep decline in his abilities. This insidious condition affected not only his voice but also his capacity to play instruments. With each passing day, the disease took a deeper toll on his body and emotional well-being.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F71q3r8v0djbj1gfuet3d.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F71q3r8v0djbj1gfuet3d.jpg" alt="The four bandmates pose with their instruments." width="800" height="450"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;As time progressed, Cocking became unable to stand and play instruments and eventually found it difficult to articulate speech, which significantly impacted his artistic expression and communication with loved ones.&lt;/p&gt;

&lt;p&gt;The emotional ramifications were profound; he felt isolated from the music that had always been a core part of his identity. This experience underlines how debilitating ALS can be not just physically, but also psychologically.&lt;/p&gt;

&lt;p&gt;In the face of these challenges, it seemed like his passion for music would fade away, embodying the quintessential struggle of many artists facing similar circumstances.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key Details and Context
&lt;/h2&gt;

&lt;h4&gt;
  
  
  More Details from the Release
&lt;/h4&gt;

&lt;p&gt;Voice cloning technology has significantly improved, allowing quick creation of lifelike voices.&lt;/p&gt;

&lt;p&gt;Darling started using a voice clone to compose new songs after losing his natural voice.&lt;/p&gt;

&lt;p&gt;Over time, Darling became unable to stand, play instruments, and eventually struggled to talk.&lt;/p&gt;

&lt;p&gt;Darling was diagnosed with ALS, which affected his ability to sing and play instruments.&lt;/p&gt;

&lt;p&gt;Darling recreated his lost voice using an AI tool trained on old audio recordings.&lt;/p&gt;

&lt;p&gt;Voice banking was a method used prior to the advent of sophisticated voice clones, but these newer technologies are far more lifelike and efficient in their recreation of a person’s voice.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Ftk849fglb4vjd6hfx6fd.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Ftk849fglb4vjd6hfx6fd.jpg" alt="still from live performance at the ElevenLabs Summit with Patrick and band members on stage with Gabi Leibowitz" width="800" height="450"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;blockquote&gt;
&lt;p&gt;“Sadly, I have lost the ability to sing and play my instruments,”&lt;/p&gt;

&lt;p&gt;— &lt;a href="https://technologyreview.com/2026/02/13/1132913/als-stole-this-musicians-voice-ai-sing" rel="noopener noreferrer"&gt;technologyreview.com&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;p&gt;The synthetic voices generated by voice cloning retain aspects such as breathing pauses, emotional intonation, and natural speech patterns, closely mimicking the original voice's characteristics.&lt;/p&gt;

&lt;p&gt;ElevenLabs has made strides in providing accessible options, allowing individuals with speech difficulties to utilize their voice cloning tools at no cost. Their dedication to inclusivity is commendable and is changing lives.&lt;/p&gt;

&lt;p&gt;Modern voice cloning technology has significantly improved, enabling the rapid creation of lifelike voices that can emulate personal nuances within a matter of minutes.&lt;/p&gt;

&lt;p&gt;Darling started using a voice clone to compose new songs after losing his natural voice, harnessing this technology to reconnect with his audience in a meaningful way.&lt;/p&gt;

&lt;p&gt;Over time, as his abilities declined, he faced obstacles he never imagined a musician would encounter. However, with the emergence of AI technologies, he began to reclaim his artistic voice.&lt;/p&gt;

&lt;p&gt;It is worth noting that this innovative approach does not just help with vocal expression; it also assists in emotional expression, enabling artists to convey their thoughts and feelings as authentically as possible.&lt;/p&gt;

&lt;h4&gt;
  
  
  The Power of AI
&lt;/h4&gt;

&lt;p&gt;Thanks to innovative AI voice cloning technology, Cocking was able to recreate his lost voice using a tool developed from his old recordings. This technological advancement enabled him to compose new songs even after losing his natural voice, thus reigniting his passion for music.&lt;/p&gt;

&lt;p&gt;The advancements in voice cloning have improved remarkably, making it possible to generate lifelike voices that incorporate natural speech patterns and breathing pauses. ElevenLabs stands out as a leading company, offering free access to these tools for individuals facing speech difficulties, thereby changing the landscape for many artists.&lt;/p&gt;

&lt;h2&gt;
  
  
  What Happens Next
&lt;/h2&gt;

&lt;h4&gt;
  
  
  A New Chapter in Music
&lt;/h4&gt;

&lt;p&gt;Cocking now uses his AI-generated voice to continue his musical journey. He emphasizes the ongoing importance of songwriting in his life despite the challenges posed by ALS. This new approach not only revitalizes his artistic endeavors but also serves as an inspiration for others facing similar battles.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Flhutu6fklmn1twr6nqer.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Flhutu6fklmn1twr6nqer.jpg" alt="Patrick and bandmates with their instruments prior to his MND diagnosis" width="720" height="720"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;h2&gt;
  
  
  Why This Matters
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Impacts on the Community
&lt;/h4&gt;

&lt;p&gt;Cocking's story illustrates a broader movement toward using AI technology to restore communication capabilities for musicians and others with speech impairments. As he continues his work, his journey brings hope to many facing similar challenges, showcasing the potential of AI to transform lives.&lt;/p&gt;

&lt;blockquote&gt;
&lt;p&gt;“Despite this, most of my time these days is spent still continuing to compose and produce my music. Doing so feels more important than ever to me now.”&lt;/p&gt;

&lt;p&gt;— &lt;a href="https://technologyreview.com/2026/02/13/1132913/als-stole-this-musicians-voice-ai-sing" rel="noopener noreferrer"&gt;technologyreview.com&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;p&gt;The evolution of voice cloning technology may pave the way for more musicians to reclaim their voices and continue to share their art with the world, illustrating how technology can bridge gaps faced by individuals with disabilities.&lt;/p&gt;

&lt;h2&gt;
  
  
  FAQ
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Can people with ALS benefit from voice cloning?
&lt;/h4&gt;

&lt;p&gt;Yes, voice cloning technology allows those with ALS to communicate and express themselves through synthetic voice reproduction, creating new opportunities for artistic expression.&lt;/p&gt;

&lt;h2&gt;
  
  
  Sources
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;  &lt;a href="https://technologyreview.com/2026/02/13/1132913/als-stole-this-musicians-voice-ai-sing" rel="noopener noreferrer"&gt;ALS stole this musician’s voice. AI let him sing again.&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://technologyreview.com/2025/02/13/1111882/motor-neuron-diseases-took-their-voices-ai-bringing-them-back" rel="noopener noreferrer"&gt;Motor neuron diseases took their voices. AI is bringing them back.&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://technologyreview.com/2025/02/14/1111900/ai-voice-clone-say-arse-then-banned" rel="noopener noreferrer"&gt;A woman made her AI voice clone say “arse.” Then she got banned.&lt;/a&gt;
&lt;/li&gt;
&lt;/ul&gt;




&lt;p&gt;Originally published on &lt;a href="https://futurpulse.com/how-ai-helped-a-musician-regain-his-voice-after-als/" rel="noopener noreferrer"&gt;FuturPulse&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;More from FuturPulse: &lt;a href="https://futurpulse.com" rel="noopener noreferrer"&gt;https://futurpulse.com&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Browse AI on FuturPulse: &lt;a href="https://futurpulse.com/category/ai/" rel="noopener noreferrer"&gt;https://futurpulse.com/category/ai/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>news</category>
      <category>voicecloning</category>
      <category>alsrecovery</category>
    </item>
    <item>
      <title>Alibaba Qwen Team Launches Advanced Qwen3.5 MoE Model for AI Agents</title>
      <dc:creator>alexmorgan</dc:creator>
      <pubDate>Mon, 16 Feb 2026 20:24:04 +0000</pubDate>
      <link>https://dev.to/alexmorgantech/alibaba-qwen-team-launches-advanced-qwen35-moe-model-for-ai-agents-413f</link>
      <guid>https://dev.to/alexmorgantech/alibaba-qwen-team-launches-advanced-qwen35-moe-model-for-ai-agents-413f</guid>
      <description>&lt;blockquote&gt;
&lt;p&gt;Originally published on FuturPulse: &lt;a href="https://futurpulse.com/alibaba-qwen-team-launches-advanced-qwen3-5-moe-model-for-ai-agents/?utm_source=devto&amp;amp;utm_medium=syndication&amp;amp;utm_campaign=nea&amp;amp;utm_content=20260216_202029_futurepulse_01" rel="noopener noreferrer"&gt;Alibaba Qwen Team Launches Advanced Qwen3.5 MoE Model for AI Agents&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;h1&gt;
  
  
  Alibaba Qwen Team Launches Advanced Qwen3.5 MoE Model for AI Agents
&lt;/h1&gt;

&lt;p&gt;Qwen3.5 MoE Model — Key Takeaways&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;  The Qwen3.5 model uses a sparse Mixture-of-Experts architecture with 397 billion parameters for enhanced performance.&lt;/li&gt;
&lt;li&gt;  Activating 17 billion parameters in a single forward pass makes Qwen3.5 capable of processing complex tasks efficiently.&lt;/li&gt;
&lt;li&gt;  With the ability to handle up to 1 million tokens, Qwen3.5 excels in managing longer contexts and intricate AI operations.&lt;/li&gt;
&lt;li&gt;  The model combines innovative Gated Delta Networks with the Mixture-of-Experts framework to boost processing effectiveness.&lt;/li&gt;
&lt;li&gt;  Qwen3.5 achieved a significant score of 76.5 on the IFBench test, outperforming several existing proprietary models.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F0qpwozvalpohmoamam5n.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F0qpwozvalpohmoamam5n.png" alt="Alibaba Qwen Team Releases Qwen3.5-397B MoE Model for AI Agents" width="800" height="571"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Alibaba Qwen Team Releases Qwen3.5-397B MoE Model for AI Agents — Source: marktechpost.com&lt;/p&gt;

&lt;h2&gt;
  
  
  What We Know So Far
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Release of Qwen3.5
&lt;/h4&gt;

&lt;p&gt;Qwen3.5 MoE Model — The Alibaba Qwen Team has unveiled its latest advancement, the Qwen3.5 model, which boasts a staggering 397 billion total parameters. This model is structured as a sparse Mixture-of-Experts (MoE) system, setting a new standard in artificial intelligence capabilities.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F88ixamsq7cfe9e1sfp4c.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F88ixamsq7cfe9e1sfp4c.png" alt="Alibaba Qwen Team Releases Qwen3.5-397B MoE Model for AI Agents" width="800" height="491"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;The architecture of Qwen3.5 has been designed to allow efficient task execution. As mentioned, it activates 17 billion parameters in one single forward pass, which is a significant advancement as it ensures not just speed but also accuracy in the operations that require deep learning.&lt;/p&gt;

&lt;p&gt;Furthermore, the ability to manage this level of complexity allows Qwen3.5 to stand out amongst its competitors. Efficiently tackling demanding AI tasks is essential for today's professional applications—be they in the fields of healthcare, finance, or technology development.&lt;/p&gt;

&lt;p&gt;During its operation, Qwen3.5 activates 17 billion parameters in a single forward pass, providing the capacity necessary for executing complex tasks efficiently. This architecture allows for a cutting-edge performance that distinguishes it from many existing models. Moreover, the design philosophy behind Qwen3.5 aims to empower developers and businesses to fully utilize AI's potential.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key Details and Context
&lt;/h2&gt;

&lt;h4&gt;
  
  
  More Details from the Release
&lt;/h4&gt;

&lt;p&gt;The training of Qwen3.5 included trillions of multimodal tokens, which in turn improves its visual reasoning capabilities. This diverse training corpus ensures that the model can approach various tasks with the necessary proficiency.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F4s9m18wrcltd3moy364a.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F4s9m18wrcltd3moy364a.png" alt="Alibaba Qwen Team Releases Qwen3.5-397B MoE Model for AI Agents" width="800" height="509"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Qwen3.5 is designed specifically for AI agents, which translates to its applicability across various use cases. This includes generating HTML/CSS code directly from UI screenshots, exemplifying its versatility and relevance in today's digital workspace.&lt;/p&gt;

&lt;p&gt;In addition to these features, the Qwen3.5 model incorporates an asynchronous Reinforcement Learning framework. This advanced architecture plays a crucial role in maintaining the model's accuracy, even when processing lengthy documents that require consistent performance over long periods.&lt;/p&gt;

&lt;p&gt;The commitment to performance is underscored by Qwen3.5's achievement of a 76.5 score on the IFBench test, an indication that it surpasses many proprietary models currently on the market.&lt;/p&gt;

&lt;p&gt;The synergy between Gated Delta Networks and the Mixture-of-Experts architecture highlights the forward-thinking approach in the design of Qwen3.5, focusing on enhanced performance and efficiency. The boost in processing capabilities makes Qwen3.5 an unforgettable player in the AI field.&lt;/p&gt;

&lt;p&gt;Moreover, Qwen3.5’s capacity to process up to 1 million tokens marks it as a powerhouse for managing complex AI tasks that other models may struggle with. This aspect is vital for applications requiring not only intelligence but also the capability to understand and analyze large datasets.&lt;/p&gt;

&lt;h4&gt;
  
  
  Advanced Processing Capabilities
&lt;/h4&gt;

&lt;p&gt;One of the standout features of the Qwen3.5 model is its ability to process up to 1 million tokens. This impressive capability means that it can manage long-term contexts and handle intricate AI operations with ease, giving it a critical edge in various applications from conversational agents to data analysis tools.&lt;/p&gt;

&lt;p&gt;The implementation of Gated Delta Networks alongside the MoE architecture significantly enhances its processing effectiveness. The model is capable of rapid data handling and accurate contextual understanding, thus setting a new benchmark for AI development.&lt;/p&gt;

&lt;h2&gt;
  
  
  What Happens Next
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Future Implications for AI
&lt;/h4&gt;

&lt;p&gt;The Qwen3.5 model is particularly designed for AI agents, which indicates a shift towards more intelligent automation in various applications. Specific tasks can include generating HTML/CSS code from user interface screenshots, showcasing its versatility.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fo4v32mkp2is9o1fgdgvw.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fo4v32mkp2is9o1fgdgvw.png" alt="Alibaba Qwen Team Releases Qwen3.5-397B MoE Model for AI Agents" width="800" height="463"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;With a notable score of 76.5 on the IFBench test, Qwen3.5 showcases its superiority over various proprietary models, hinting at its role in leading the next generation of AI technology. The ability to learn from extensive datasets and provide actionable insights may ultimately facilitate a broader range of applications.&lt;/p&gt;

&lt;h2&gt;
  
  
  Why This Matters
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Impact on AI Development
&lt;/h4&gt;

&lt;p&gt;Alibaba's introduction of the Qwen3.5 model exemplifies a significant step forward in machine learning advancements. Its architecture and functionalities are paving the way for more robust AI agents capable of tackling increasingly complex tasks.&lt;/p&gt;

&lt;p&gt;The model's foundation on Gated Delta Networks and the capacity to process expansive datasets fosters a promising future for AI. These advancements is expected to have far-reaching implications, influencing not just technical developments but also shifts in how businesses and industries operate.&lt;/p&gt;

&lt;p&gt;In summary, the Qwen3.5 model positions Alibaba at the forefront of AI technology, cementing its role in driving innovation and facilitating more intelligent, adaptable applications across various sectors.&lt;/p&gt;

&lt;h2&gt;
  
  
  FAQ
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Frequently Asked Questions
&lt;/h4&gt;

&lt;p&gt;In light of the Qwen3.5 release, here are some commonly raised queries:&lt;/p&gt;

&lt;h4&gt;
  
  
  What is the Qwen3.5 model?
&lt;/h4&gt;

&lt;p&gt;Qwen3.5 is a Mixture-of-Experts AI model developed by Alibaba with 397 billion parameters.&lt;/p&gt;

&lt;h4&gt;
  
  
  What capabilities does Qwen3.5 offer?
&lt;/h4&gt;

&lt;p&gt;It can process up to 1 million tokens, enabling it to perform complex AI tasks effectively.&lt;/p&gt;

&lt;h4&gt;
  
  
  How did Qwen3.5 perform in testing?
&lt;/h4&gt;

&lt;p&gt;It scored 76.5 on the IFBench test, surpassing many proprietary AI models.&lt;/p&gt;

&lt;h2&gt;
  
  
  Sources
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;  &lt;a href="https://marktechpost.com/2026/02/16/alibaba-qwen-team-releases-qwen3-5-397b-moe-model-with-17b-active-parameters-and-1m-token-context-for-ai-agents" rel="noopener noreferrer"&gt;Alibaba Qwen Team Releases Qwen3.5-397B MoE Model with 17B Active Parameters and 1M Token Context for AI agents&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://marktechpost.com/category/editors-pick/ai-agents" rel="noopener noreferrer"&gt;AI Agents Category - MarkTechPost&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://marktechpost.com/category/technology/artificial-intelligence/language-model" rel="noopener noreferrer"&gt;Language Model Category - MarkTechPost&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://marktechpost.com/category/technology/artificial-intelligence/large-language-model" rel="noopener noreferrer"&gt;Large Language Model&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://marktechpost.com/category/editors-pick/new-releases" rel="noopener noreferrer"&gt;New Releases Category - MarkTechPost&lt;/a&gt;
&lt;/li&gt;
&lt;/ul&gt;




&lt;p&gt;Originally published on &lt;a href="https://futurpulse.com/alibaba-qwen-team-launches-advanced-qwen3-5-moe-model-for-ai-agents/" rel="noopener noreferrer"&gt;FuturPulse&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;More from FuturPulse: &lt;a href="https://futurpulse.com" rel="noopener noreferrer"&gt;https://futurpulse.com&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Browse AI on FuturPulse: &lt;a href="https://futurpulse.com/category/ai/" rel="noopener noreferrer"&gt;https://futurpulse.com/category/ai/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>news</category>
      <category>alibabaqwenteam</category>
      <category>aiagents</category>
    </item>
    <item>
      <title>AI-Driven Antibiotic Discovery: The Future of Medicine</title>
      <dc:creator>alexmorgan</dc:creator>
      <pubDate>Mon, 16 Feb 2026 15:36:33 +0000</pubDate>
      <link>https://dev.to/alexmorgantech/ai-driven-antibiotic-discovery-the-future-of-medicine-5fn9</link>
      <guid>https://dev.to/alexmorgantech/ai-driven-antibiotic-discovery-the-future-of-medicine-5fn9</guid>
      <description>&lt;blockquote&gt;
&lt;p&gt;Originally published on FuturPulse: &lt;a href="https://futurpulse.com/ai-driven-antibiotic-discovery-the-future-of-medicine/?utm_source=devto&amp;amp;utm_medium=syndication&amp;amp;utm_campaign=nea&amp;amp;utm_content=20260216_153413_futurepulse_01" rel="noopener noreferrer"&gt;AI-Driven Antibiotic Discovery: The Future of Medicine&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;h1&gt;
  
  
  AI-Driven Antibiotic Discovery: The Future of Medicine — AI antibiotic discovery
&lt;/h1&gt;

&lt;p&gt;&lt;strong&gt;Key Takeaways&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;  César de la Fuente is leveraging AI to scan genomes for antibiotic peptides.&lt;/li&gt;
&lt;li&gt;  The research includes exploring genetic material from extinct species to find new compounds.&lt;/li&gt;
&lt;li&gt;  A diverse library of over a million genetic recipes has been amassed for antibiotic research.&lt;/li&gt;
&lt;li&gt;  Traditional antibiotic discovery methods are becoming less effective and more costly.&lt;/li&gt;
&lt;li&gt;  The study highlights the potential of ancient genetic material in modern medicine.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fn3gwzppx0n7lyjqlk7u4.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fn3gwzppx0n7lyjqlk7u4.jpg" alt="The scientist using AI to hunt for antibiotics just about everywhere" width="800" height="400"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;The scientist using AI to hunt for antibiotics just about everywhere — Source: technologyreview.com&lt;/p&gt;

&lt;h2&gt;
  
  
  What We Know So Far
&lt;/h2&gt;

&lt;p&gt;AI antibiotic discovery — César de la Fuente, a researcher at the University of Pennsylvania, is using artificial intelligence to revolutionize antibiotic discovery. His approach involves scanning genomes for peptides with antibiotic properties, a tool that is becoming increasingly critical as traditional methods falter.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Faxxour9ua2wpnz0p3rr2.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Faxxour9ua2wpnz0p3rr2.jpg" alt="César de la Fuente" width="800" height="1066"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;According to reports, De la Fuente's team has uncovered peptides within the genetic code of ancient organisms like archaea and has even explored genetic material from extinct species.&lt;/p&gt;

&lt;h4&gt;
  
  
  The Role of Machine Learning
&lt;/h4&gt;

&lt;p&gt;Thanks to advances in machine biology, De la Fuente's research can analyze vast amounts of data at unprecedented speed. With over a million genetic recipes collected, the potential to identify effective antimicrobial compounds has never been greater.&lt;/p&gt;

&lt;p&gt;As traditional methods fall behind in effectiveness and cost-efficiency, this novel approach harnesses AI’s power to explore genetic information previously overlooked in the search for new antibiotics.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key Details and Context
&lt;/h2&gt;

&lt;h3&gt;
  
  
  More Details from the Release
&lt;/h3&gt;

&lt;p&gt;The number of possible organic combinations that can be synthesized for drug discovery is estimated around 10^60.&lt;/p&gt;

&lt;p&gt;The traditional methods for antibiotic discovery are becoming increasingly ineffective and expensive.&lt;/p&gt;

&lt;p&gt;De la Fuente has amassed a library of over a million genetic recipes through this research.&lt;/p&gt;

&lt;p&gt;He has resurrected compounds from genes of extinct organisms like mammoths and giant sloths.&lt;/p&gt;

&lt;p&gt;De la Fuente's project, called molecular de-extinction, involves scanning genetic sequences from extinct species.&lt;/p&gt;

&lt;p&gt;The team has also excavated candidates from the venom of snakes, wasps, and spiders.&lt;/p&gt;

&lt;p&gt;De la Fuente's team has described peptides hiding in the genetic code of ancient archaea.&lt;/p&gt;

&lt;p&gt;César de la Fuente is using AI tools to search genomes for peptides with antibiotic properties.&lt;/p&gt;

&lt;p&gt;The number of possible organic combinations that can be synthesized for drug discovery is estimated around 10^60.&lt;/p&gt;

&lt;p&gt;The traditional methods for antibiotic discovery are becoming increasingly ineffective and expensive.&lt;/p&gt;

&lt;p&gt;De la Fuente has amassed a library of over a million genetic recipes through this research.&lt;/p&gt;

&lt;p&gt;He has resurrected compounds from genes of extinct organisms like mammoths and giant sloths.&lt;/p&gt;

&lt;p&gt;De la Fuente's project, called molecular de-extinction, involves scanning genetic sequences from extinct species.&lt;/p&gt;

&lt;p&gt;The team has also excavated candidates from the venom of snakes, wasps, and spiders.&lt;/p&gt;

&lt;p&gt;De la Fuente's team has described peptides hiding in the genetic code of ancient archaea.&lt;/p&gt;

&lt;p&gt;César de la Fuente is using AI tools to search genomes for peptides with antibiotic properties.&lt;/p&gt;

&lt;p&gt;De la Fuente's initiative, termed 'molecular de-extinction,' aims at resurrecting compounds from the genes of species that no longer exist. This endeavor focuses on famous extinct organisms such as woolly mammoths, Neanderthals, and even the giant sloth.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fw3mkeuih2pbn9bhulczf.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fw3mkeuih2pbn9bhulczf.jpg" alt="The scientist using AI to hunt for antibiotics just about everywhere" width="800" height="400"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;blockquote&gt;
&lt;p&gt;“César is marvelously talented, very innovative.”&lt;/p&gt;

&lt;p&gt;— Collins, &lt;a href="https://technologyreview.com/2026/02/16/1132516/cesar-de-la-fuente-using-ai-antibiotics-hunt" rel="noopener noreferrer"&gt;technologyreview.com&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;p&gt;Additionally, his team has delved into the venom of snakes, wasps, and spiders, further diversifying the available compounds for study. These insights open new avenues for antibiotic development, enabling the exploration of genetics in ways never before imagined.&lt;/p&gt;

&lt;h4&gt;
  
  
  The Inadequacy of Traditional Methods
&lt;/h4&gt;

&lt;p&gt;It is widely acknowledged that the conventional methods for antibiotic discovery are becoming increasingly ineffective and expensive. A multitude of companies in the field have seen a downturn, unable to provide a satisfactory return on investment.&lt;/p&gt;

&lt;p&gt;One expert mentioned, "A lot of the companies that have attempted to do antibiotic development in the past have ended up folding." This stark reality fuels the urgency for innovative methods like those employed by De la Fuente.&lt;/p&gt;

&lt;h2&gt;
  
  
  What Happens Next
&lt;/h2&gt;

&lt;p&gt;With ongoing research, De la Fuente is optimistic about the breakthroughs that AI-driven antibiotic discovery could achieve. The vast number of combinations available—estimated at around 10^60—means that countless new compounds await identification and testing.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F47f4hix2szsn9ukkpiui.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F47f4hix2szsn9ukkpiui.jpg" alt="Dr David Sinclair" width="800" height="450"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;As this research progresses, the implications for medicine could be profound. Identifying new antibiotics is expected to combat the growing problem of antibiotic resistance, a pressing issue globally.&lt;/p&gt;

&lt;h4&gt;
  
  
  Expanding the Scope of Research
&lt;/h4&gt;

&lt;p&gt;As the team continues to expand its libraries, there are plans to further explore different biological samples across various ecosystems. The intent is to uncover more peptide structures that could pave the way for new types of treatments.&lt;/p&gt;

&lt;p&gt;Stokes, a colleague, elaborates, "Drug discovery in any domain is a statistics game," emphasizing the wide-reaching possibilities that lie ahead when leveraging AI for such critical health challenges.&lt;/p&gt;

&lt;h2&gt;
  
  
  Why This Matters
&lt;/h2&gt;

&lt;p&gt;The urgency and implications of this research cannot be overstated. As antibiotic resistance continues to edge higher, effective treatments are dwindling. De la Fuente’s work is not just about finding new medicines; it's a vital step in preserving public health.&lt;/p&gt;

&lt;blockquote&gt;
&lt;p&gt;“and I think this is the ultimate challenge.”&lt;/p&gt;

&lt;p&gt;— &lt;a href="https://technologyreview.com/2026/02/16/1132516/cesar-de-la-fuente-using-ai-antibiotics-hunt" rel="noopener noreferrer"&gt;technologyreview.com&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;p&gt;By tapping into the genetic wealth of ancient species and utilizing cutting-edge AI techniques, De la Fuente offers hope for a future where effective antibiotics remain accessible.&lt;/p&gt;

&lt;h2&gt;
  
  
  FAQ
&lt;/h2&gt;

&lt;h4&gt;
  
  
  What is molecular de-extinction?
&lt;/h4&gt;

&lt;p&gt;Molecular de-extinction is a project by César de la Fuente that scans genetic sequences from extinct species to discover new compounds.&lt;/p&gt;

&lt;h4&gt;
  
  
  How is AI being used in antibiotic discovery?
&lt;/h4&gt;

&lt;p&gt;AI tools are utilized to search through genomes for peptides that exhibit antibiotic properties.&lt;/p&gt;

&lt;h4&gt;
  
  
  What organisms are being studied for new antibiotics?
&lt;/h4&gt;

&lt;p&gt;Research includes genetic material from ancient archaea, extinct mammals like woolly mammoths, and even venom from snakes and wasps.&lt;/p&gt;

&lt;h2&gt;
  
  
  Sources
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;  &lt;a href="https://technologyreview.com/2026/02/16/1132516/cesar-de-la-fuente-using-ai-antibiotics-hunt" rel="noopener noreferrer"&gt;The scientist using AI to hunt for antibiotics just about everywhere&lt;/a&gt;
&lt;/li&gt;
&lt;/ul&gt;




&lt;p&gt;Originally published on &lt;a href="https://futurpulse.com/ai-driven-antibiotic-discovery-the-future-of-medicine/" rel="noopener noreferrer"&gt;FuturPulse&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;More from FuturPulse: &lt;a href="https://futurpulse.com" rel="noopener noreferrer"&gt;https://futurpulse.com&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Browse AI on FuturPulse: &lt;a href="https://futurpulse.com/category/ai/" rel="noopener noreferrer"&gt;https://futurpulse.com/category/ai/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>news</category>
      <category>csardelafuente</category>
      <category>moleculardeextinction</category>
    </item>
    <item>
      <title>Improving High-Precision Robots' Absolute Accuracy: Solutions and Insights</title>
      <dc:creator>alexmorgan</dc:creator>
      <pubDate>Mon, 16 Feb 2026 10:42:59 +0000</pubDate>
      <link>https://dev.to/alexmorgantech/improving-high-precision-robots-absolute-accuracy-solutions-and-insights-2oac</link>
      <guid>https://dev.to/alexmorgantech/improving-high-precision-robots-absolute-accuracy-solutions-and-insights-2oac</guid>
      <description>&lt;blockquote&gt;
&lt;p&gt;Originally published on FuturPulse: &lt;a href="https://futurpulse.com/improving-high-precision-robots-absolute-accuracy-solutions-and-insights/?utm_source=devto&amp;amp;utm_medium=syndication&amp;amp;utm_campaign=nea&amp;amp;utm_content=20260216_104053_futurepulse_01" rel="noopener noreferrer"&gt;Improving High-Precision Robots' Absolute Accuracy: Solutions and Insights&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;h1&gt;
  
  
  Improving High-Precision Robots' Absolute Accuracy: Solutions and Insights
&lt;/h1&gt;

&lt;p&gt;&lt;strong&gt;Key Takeaways&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;  High-precision robots may have repeatability but often lack absolute accuracy, ranging from 0.5 to 1.5 mm.&lt;/li&gt;
&lt;li&gt;  Inaccuracies can lead to increased downtime due to the need for corrections, particularly in precise applications like welding.&lt;/li&gt;
&lt;li&gt;  Root causes of inaccuracy include hardware issues, poor calibration, and external environmental factors.&lt;/li&gt;
&lt;li&gt;  Optimizing calibrations and selecting superior encoders can significantly enhance robotic performance.&lt;/li&gt;
&lt;li&gt;  Regularly reviewing and troubleshooting robot systems can address dissatisfaction with accuracy, improving overall efficiency.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fjhnnea6bv38g0904kwv3.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fjhnnea6bv38g0904kwv3.jpg" alt="High-precision robots: What to do when absolute accuracy is poor?" width="770" height="497"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;High-precision robots: What to do when absolute accuracy is poor? — Source: therobotreport.com&lt;/p&gt;

&lt;h2&gt;
  
  
  What We Know So Far
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Understanding Absolute Accuracy
&lt;/h4&gt;

&lt;p&gt;High-precision robots are celebrated for their repeatability but often fall short on absolute accuracy. Typically, absolute accuracy in robots can range from 0.5 to 1.5 mm. This discrepancy can lead to significant issues, particularly in tasks requiring precise positioning.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fqc1vk7v72iu2erla5y93.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fqc1vk7v72iu2erla5y93.jpg" alt="Industrial robots. With excellent equipment and many years of experience, Fraunhofer IPA gets to the root causes of inaccurate robot operation." width="770" height="495"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;In applications such as welding, where alignment is critical, performance can suffer, leading to increased operational costs and downtime due to machine inaccuracies. Addressing these accuracy limitations is essential for improving robot efficiency and reducing the need for corrections.&lt;/p&gt;

&lt;h4&gt;
  
  
  Identifying Inaccuracy Causes
&lt;/h4&gt;

&lt;p&gt;Inaccuracies in robotic systems can stem from a variety of sources. Hardware defects, lack of proper calibration, and external factors like temperature and humidity can all impact performance. Moreover, inadequate encoders and low-performing software can also contribute to these issues.&lt;/p&gt;

&lt;p&gt;By understanding these factors, companies can take steps to mitigate inaccuracies and enhance the reliability of their robots, leading to improved operational outcomes.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key Details and Context
&lt;/h2&gt;

&lt;h3&gt;
  
  
  More Details from the Release
&lt;/h3&gt;

&lt;p&gt;Firms dissatisfied with their robots' accuracy may benefit from a comprehensive root-cause analysis of their systems.&lt;/p&gt;

&lt;p&gt;External factors such as temperature, air pressure, and process forces can negatively impact absolute accuracy.&lt;/p&gt;

&lt;p&gt;Poor calibration, inferior encoders, and low-performing controllers are major software-related reasons for inaccuracy.&lt;/p&gt;

&lt;p&gt;The causes of inaccuracies in robots can include hardware-related, software-related, and external factors.&lt;/p&gt;

&lt;p&gt;Inaccurate robots can lead to increased machine downtime due to the need for time-consuming corrections in offline programming.&lt;/p&gt;

&lt;p&gt;Low absolute accuracy can be problematic for applications needing precise positioning, such as welding.&lt;/p&gt;

&lt;p&gt;Absolute accuracy in robots often ranges between 0.5 and 1.5 mm.&lt;/p&gt;

&lt;p&gt;Robots typically have high repeatability, but often exhibit poor absolute accuracy.&lt;/p&gt;

&lt;h4&gt;
  
  
  Impact of Calibration and Software
&lt;/h4&gt;

&lt;p&gt;Calibration plays an integral role in robot accuracy. Poor calibration techniques can severely undermine performance, leading to output errors in manufacturing processes. Companies often face increased downtime due to the necessity of time-consuming corrections in offline programming.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fyh9nd70nrk72a4iplxqx.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fyh9nd70nrk72a4iplxqx.jpg" alt="The measurements made by these devices have an accuracy of +- 40 µm anywhere in the working space." width="770" height="494"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Inaccurate robots can result in significant inefficiencies; thus, businesses must invest in improving their calibration procedures and selecting superior encoders that is expected to optimize robot performance.&lt;/p&gt;

&lt;h4&gt;
  
  
  Environmental Factors
&lt;/h4&gt;

&lt;p&gt;External factors such as temperature, air pressure, and process forces also negatively impact absolute accuracy. Environmental consistency is crucial for maintaining robot precision. As robots operate, these external factors can introduce variances that compound over time, affecting overall effectiveness.&lt;/p&gt;

&lt;p&gt;Thus, understanding and controlling these influences helps create a more reliable and precise robotic work environment, elevating productivity and overall accuracy.&lt;/p&gt;

&lt;h2&gt;
  
  
  What Happens Next
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Improving Accuracy with Root Cause Analysis
&lt;/h4&gt;

&lt;p&gt;For firms dissatisfied with their robots' accuracy, a comprehensive root-cause analysis is necessary. Evaluating the performance and identifying underlying issues can lead to actionable insights, enabling firms to enhance their equipment's precision.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F65q9r4itv2atg7zakr97.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F65q9r4itv2atg7zakr97.jpg" alt="Realbotix has developed humanoid social robots." width="300" height="194"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Implementing regular reviews and maintenance checks also ensures that potential problems are detected early, thereby improving the longevity and reliability of robotic systems.&lt;/p&gt;

&lt;h4&gt;
  
  
  Future Trends in Robotics
&lt;/h4&gt;

&lt;p&gt;As technology continues to advance, the integration of smarter software and better hardware is paramount. By continually optimizing calibrations and investing in advanced robotics solutions, manufacturers can stay ahead of challenges related to accuracy.&lt;/p&gt;

&lt;p&gt;The future of robotics is expected to likely involve an increased focus on automation precision while simultaneously addressing the inherent limitations presented by external factors.&lt;/p&gt;

&lt;h2&gt;
  
  
  Why This Matters
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Enhancing Operational Efficiency
&lt;/h4&gt;

&lt;p&gt;Improving the absolute accuracy of high-precision robots is critical for enhancing operational efficiency. By solving these accuracy issues, manufacturers can significantly reduce downtime, minimize errors in production, and enhance the quality of their outputs.&lt;/p&gt;

&lt;p&gt;Ultimately, this leads to lower costs and improved return on investment, ensuring that businesses remain competitive in an increasingly automated landscape.&lt;/p&gt;

&lt;h4&gt;
  
  
  The Broader Impact in Automation
&lt;/h4&gt;

&lt;p&gt;In the larger context of automation, high-precision robots that operate with greater accuracy and consistency is expected to greatly benefit various sectors, including manufacturing, logistics, and healthcare. These improvements is expected to foster innovation and further drive the evolution of smart factories.&lt;/p&gt;

&lt;p&gt;As automation technology evolves, addressing accuracy issues is expected to be key to unlocking the full potential of robotic systems, allowing for enhanced growth and capability across industries.&lt;/p&gt;

&lt;h2&gt;
  
  
  FAQ
&lt;/h2&gt;

&lt;h4&gt;
  
  
  What is the typical accuracy range for high-precision robots?
&lt;/h4&gt;

&lt;p&gt;The absolute accuracy for high-precision robots typically ranges from 0.5 to 1.5 mm.&lt;/p&gt;

&lt;h4&gt;
  
  
  How does accuracy impact robot performance?
&lt;/h4&gt;

&lt;p&gt;Low absolute accuracy can cause issues in applications requiring precise positioning, leading to machine downtime.&lt;/p&gt;

&lt;h4&gt;
  
  
  What factors contribute to robot inaccuracies?
&lt;/h4&gt;

&lt;p&gt;Common factors include hardware defects, poor calibration, software issues, and external conditions like temperature.&lt;/p&gt;

&lt;h4&gt;
  
  
  How can manufacturers improve robot accuracy?
&lt;/h4&gt;

&lt;p&gt;Manufacturers can improve accuracy through robust calibration techniques, better encoders, and regular system reviews.&lt;/p&gt;

&lt;h2&gt;
  
  
  Sources
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;  &lt;a href="https://therobotreport.com/high-precision-robots-what-to-do-when-absolute-accuracy-is-poor" rel="noopener noreferrer"&gt;High-precision robots: What to do when absolute accuracy is poor?&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://therobotreport.com/category/robots-platforms" rel="noopener noreferrer"&gt;Robots / Platforms&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://therobotreport.com/category/robots-platforms/agv" rel="noopener noreferrer"&gt;AGVs Archives - The Robot Report&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://therobotreport.com/category/robots-platforms/amrs" rel="noopener noreferrer"&gt;Autonomous Mobile Robots (AMRs)&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://therobotreport.com/category/robots-platforms/consumer-robotics" rel="noopener noreferrer"&gt;Consumer Robotics&lt;/a&gt;
&lt;/li&gt;
&lt;/ul&gt;




&lt;p&gt;Originally published on &lt;a href="https://futurpulse.com/improving-high-precision-robots-absolute-accuracy-solutions-and-insights/" rel="noopener noreferrer"&gt;FuturPulse&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;More from FuturPulse: &lt;a href="https://futurpulse.com" rel="noopener noreferrer"&gt;https://futurpulse.com&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Browse Robotics on FuturPulse: &lt;a href="https://futurpulse.com/category/robotics/" rel="noopener noreferrer"&gt;https://futurpulse.com/category/robotics/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>news</category>
      <category>robotics</category>
      <category>robotaccuracysolutions</category>
    </item>
    <item>
      <title>How NASA Uses AI for Autonomous Navigation of the Perseverance Rover</title>
      <dc:creator>alexmorgan</dc:creator>
      <pubDate>Sun, 15 Feb 2026 15:19:50 +0000</pubDate>
      <link>https://dev.to/alexmorgantech/how-nasa-uses-ai-for-autonomous-navigation-of-the-perseverance-rover-6hk</link>
      <guid>https://dev.to/alexmorgantech/how-nasa-uses-ai-for-autonomous-navigation-of-the-perseverance-rover-6hk</guid>
      <description>&lt;blockquote&gt;
&lt;p&gt;Originally published on FuturPulse: &lt;a href="https://futurpulse.com/how-nasa-uses-ai-for-autonomous-navigation-of-the-perseverance-rover/?utm_source=devto&amp;amp;utm_medium=syndication&amp;amp;utm_campaign=nea&amp;amp;utm_content=20260215_151751_futurepulse_01" rel="noopener noreferrer"&gt;How NASA Uses AI for Autonomous Navigation of the Perseverance Rover&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;h1&gt;
  
  
  How NASA Uses AI for Autonomous Navigation of the Perseverance Rover — NASA Perseverance Rover AI
&lt;/h1&gt;

&lt;p&gt;&lt;strong&gt;Key Takeaways&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;  NASA's Perseverance Rover uses AI to autonomously generate waypoints, allowing travel without human intervention.&lt;/li&gt;
&lt;li&gt;  The rover navigated 456 meters over two days using AI-created paths, enhancing its exploration efficiency.&lt;/li&gt;
&lt;li&gt;  Mars' communication delay makes autonomous operation essential for varied terrain navigation and safety.&lt;/li&gt;
&lt;li&gt;  AI analyzes digital elevation models and images to identify potential hazards, assisting the rover in navigating complex environments.&lt;/li&gt;
&lt;li&gt;  Future Mars missions may redefine exploration with AI-controlled drones working alongside rovers to extend their capabilities.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fkdowl6rn5fjicxhkawmv.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fkdowl6rn5fjicxhkawmv.jpg" alt="NASA Let AI Drive the Perseverance Rover" width="800" height="400"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;NASA Let AI Drive the Perseverance Rover — Source: spectrum.ieee.org&lt;/p&gt;

&lt;h2&gt;
  
  
  What We Know So Far
&lt;/h2&gt;

&lt;h4&gt;
  
  
  AI Takes the Wheel
&lt;/h4&gt;

&lt;p&gt;NASA Perseverance Rover AI — NASA has taken a significant step in space exploration by allowing AI to autonomously guide the Perseverance Rover on Mars. This innovative use of technology enables the rover to generate waypoints independently, facilitating navigation without direct human control.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fxeutecsy58q66y2koasw.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fxeutecsy58q66y2koasw.jpg" alt="Still image from a 3D animation of NASA's Perseverance Rover driving over Mars' rough terrain." width="800" height="600"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Over two days, the Perseverance team successfully navigated the rover using AI-generated waypoints, covering a total distance of 456 meters, which showcases the rover's advanced capabilities.&lt;/p&gt;

&lt;h4&gt;
  
  
  Communication Challenges
&lt;/h4&gt;

&lt;p&gt;A critical factor for the necessity of such autonomous operations is the 25-minute communication delay between Mars and Earth. This time lag makes real-time control impractical, requiring rovers like Perseverance to operate autonomously in navigating varied terrains.&lt;/p&gt;

&lt;p&gt;The capabilities of the rover's AI allow it to analyze orbital images and digital elevation models to scout for hazards, such as sand traps and boulder fields, ensuring its safe passage in the rough Martian landscape.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key Details and Context
&lt;/h2&gt;

&lt;h3&gt;
  
  
  More Details from the Release
&lt;/h3&gt;

&lt;p&gt;NASA's Dragonfly mission to Titan will utilize AI for autonomous navigation and data curation.&lt;/p&gt;

&lt;p&gt;The future of Mars rovers may include swarm AI-controlled drones to extend their explorative capabilities.&lt;/p&gt;

&lt;p&gt;NASA is researching how AI can help Perseverance with re-localization to improve its autonomous capabilities.&lt;/p&gt;

&lt;p&gt;Perseverance's autonomous navigation system has more autonomy than previous rovers and can process images during movement.&lt;/p&gt;

&lt;p&gt;The AI utilized by Perseverance analyzes orbital images and digital elevation models to identify hazards like sand traps and boulder fields.&lt;/p&gt;

&lt;p&gt;Mars rovers like Perseverance experience a 25-minute delay in communication with Earth, necessitating autonomous operation for short periods.&lt;/p&gt;

&lt;p&gt;The Perseverance team used AI-generated waypoints to navigate a total of 456 meters over two days.&lt;/p&gt;

&lt;p&gt;NASA demonstrated the use of AI to generate waypoints for the Perseverance Rover, allowing it to travel autonomously without human control.&lt;/p&gt;

&lt;p&gt;NASA's Dragonfly mission to Titan will utilize AI for autonomous navigation and data curation.&lt;/p&gt;

&lt;p&gt;The future of Mars rovers may include swarm AI-controlled drones to extend their explorative capabilities.&lt;/p&gt;

&lt;p&gt;NASA is researching how AI can help Perseverance with re-localization to improve its autonomous capabilities.&lt;/p&gt;

&lt;p&gt;Perseverance's autonomous navigation system has more autonomy than previous rovers and can process images during movement.&lt;/p&gt;

&lt;p&gt;The AI utilized by Perseverance analyzes orbital images and digital elevation models to identify hazards like sand traps and boulder fields.&lt;/p&gt;

&lt;p&gt;Mars rovers like Perseverance experience a 25-minute delay in communication with Earth, necessitating autonomous operation for short periods.&lt;/p&gt;

&lt;p&gt;The Perseverance team used AI-generated waypoints to navigate a total of 456 meters over two days.&lt;/p&gt;

&lt;p&gt;NASA demonstrated the use of AI to generate waypoints for the Perseverance Rover, allowing it to travel autonomously without human control.&lt;/p&gt;

&lt;h4&gt;
  
  
  Enhanced Autonomy
&lt;/h4&gt;

&lt;p&gt;The Perseverance Rover features an autonomous navigation system that surpasses previous rovers, equipped to process images while it moves. This advancement provides the capability to adjust its path dynamically in response to obstacles it detects.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Ftbiwgdbd7awfx40hdmd0.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Ftbiwgdbd7awfx40hdmd0.png" alt="NASA Let AI Drive the Perseverance Rover" width="210" height="210"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;blockquote&gt;
&lt;p&gt;“This demonstration shows how far our capabilities have advanced and broadens how we is expected to explore other worlds,”&lt;/p&gt;

&lt;p&gt;— NASA Administrator Jared Isaacman, &lt;a href="https://spectrum.ieee.org/perseverance-rover-nasa-anthropic-ai" rel="noopener noreferrer"&gt;spectrum.ieee.org&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;p&gt;Further, NASA is investigating new methods of AI-assisted re-localization, which could enhance the rover's understanding of its position, thus improving navigation accuracy even further.&lt;/p&gt;

&lt;h4&gt;
  
  
  Expanding Horizons
&lt;/h4&gt;

&lt;p&gt;As we look ahead, the future of Mars exploration could see collaborations featuring swarms of AI-controlled drones working in tandem with rovers. This could dramatically enhance the exploration capabilities of such missions.&lt;/p&gt;

&lt;h2&gt;
  
  
  What Happens Next
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Potential Missions
&lt;/h4&gt;

&lt;p&gt;NASA's ongoing research into AI applications for autonomous exploration is paving the way for future missions. For instance, the upcoming Dragonfly mission to Titan is expected to leverage similar AI technology for its navigation and data collection functionalities.&lt;/p&gt;

&lt;p&gt;As NASA continues to test the limits of intelligent robotics in exploration, we can anticipate new missions utilizing these advancements to further our understanding of celestial bodies beyond Earth.&lt;/p&gt;

&lt;h4&gt;
  
  
  Improving Human Presence
&lt;/h4&gt;

&lt;p&gt;The implications of these advancements extend beyond robotic exploration. Comments from NASA Administrator Jared Isaacman highlight the essential role of AI in establishing infrastructure for future human endeavors on the Moon and Mars.&lt;/p&gt;

&lt;h2&gt;
  
  
  Why This Matters
&lt;/h2&gt;

&lt;h4&gt;
  
  
  The Importance of AI in Space Exploration
&lt;/h4&gt;

&lt;p&gt;The integration of AI operations in rovers like Perseverance signifies a transformative approach to space exploration. Enhancing our navigational capabilities allows for more efficient and safer explorations of Mars, pushing the boundaries of scientific inquiry and discovery.&lt;/p&gt;

&lt;blockquote&gt;
&lt;p&gt;“Imagine intelligent systems not only on the ground at Earth, but also in edge applications in our rovers, helicopters , drones , and other surface elements trained with the collective wisdom of our NASA engineers, scientists, and astronauts,”&lt;/p&gt;

&lt;p&gt;— Matt Wallace, &lt;a href="https://spectrum.ieee.org/perseverance-rover-nasa-anthropic-ai" rel="noopener noreferrer"&gt;spectrum.ieee.org&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;p&gt;Through innovative applications of AI, NASA not only tackles the challenges of navigating harsh extraterrestrial terrains but also sets the stage for a future where human presence and infrastructure are potential realities in the distant cosmos.&lt;/p&gt;

&lt;h2&gt;
  
  
  FAQ
&lt;/h2&gt;

&lt;h4&gt;
  
  
  How does the Perseverance Rover use AI for navigation?
&lt;/h4&gt;

&lt;p&gt;It uses AI to generate waypoints and navigate autonomously without human control.&lt;/p&gt;

&lt;h4&gt;
  
  
  What are the capabilities of AI in the Perseverance Rover?
&lt;/h4&gt;

&lt;p&gt;The AI can process images during movement and analyze topographical data to identify hazards.&lt;/p&gt;

&lt;h2&gt;
  
  
  Sources
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;  &lt;a href="https://spectrum.ieee.org/perseverance-rover-nasa-anthropic-ai" rel="noopener noreferrer"&gt;AI Powers Perseverance Rover's Autonomous Journey&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://spectrum.ieee.org/newsletters" rel="noopener noreferrer"&gt;Newsletters - IEEE Spectrum&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://spectrum.ieee.org/the-institute" rel="noopener noreferrer"&gt;News &amp;amp; Updates About IEEE&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://spectrum.ieee.org/the-institute/ti-archive" rel="noopener noreferrer"&gt;The Institute Archive&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://spectrum.ieee.org/tag/nasa" rel="noopener noreferrer"&gt;Latest news &amp;amp; articles from IEEE Spectrum&lt;/a&gt;
&lt;/li&gt;
&lt;/ul&gt;




&lt;p&gt;Originally published on &lt;a href="https://futurpulse.com/how-nasa-uses-ai-for-autonomous-navigation-of-the-perseverance-rover/" rel="noopener noreferrer"&gt;FuturPulse&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;More from FuturPulse: &lt;a href="https://futurpulse.com" rel="noopener noreferrer"&gt;https://futurpulse.com&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Browse Robotics on FuturPulse: &lt;a href="https://futurpulse.com/category/robotics/" rel="noopener noreferrer"&gt;https://futurpulse.com/category/robotics/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>news</category>
      <category>robotics</category>
      <category>autonomousrovertechnolog</category>
    </item>
    <item>
      <title>Teams of Robots Compete to Save Lives on the Battlefield</title>
      <dc:creator>alexmorgan</dc:creator>
      <pubDate>Sat, 14 Feb 2026 15:19:43 +0000</pubDate>
      <link>https://dev.to/alexmorgantech/teams-of-robots-compete-to-save-lives-on-the-battlefield-37l8</link>
      <guid>https://dev.to/alexmorgantech/teams-of-robots-compete-to-save-lives-on-the-battlefield-37l8</guid>
      <description>&lt;blockquote&gt;
&lt;p&gt;Originally published on FuturPulse: &lt;a href="https://futurpulse.com/teams-of-robots-compete-to-save-lives-on-the-battlefield/?utm_source=devto&amp;amp;utm_medium=syndication&amp;amp;utm_campaign=nea&amp;amp;utm_content=20260214_151728_futurepulse_01" rel="noopener noreferrer"&gt;Teams of Robots Compete to Save Lives on the Battlefield&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;h1&gt;
  
  
  Teams of Robots Compete to Save Lives on the Battlefield — DARPA Triage Challenge
&lt;/h1&gt;

&lt;p&gt;&lt;strong&gt;Key Takeaways&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;  DARPA's Triage Challenge focuses on robotic teams aiding human medics in urgent situations.&lt;/li&gt;
&lt;li&gt;  Robots collect data to assess injury severity and locate casualties quickly.&lt;/li&gt;
&lt;li&gt;  The event features advanced technologies like drones and quadruped robots.&lt;/li&gt;
&lt;li&gt;  Team Chiron from Carnegie Mellon University is leading these efforts.&lt;/li&gt;
&lt;li&gt;  The final challenge event is scheduled for November 2023.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F5n6qf3otp1mzgqram5nj.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F5n6qf3otp1mzgqram5nj.jpg" alt="Teams of Robots Compete to Save Lives on the Battlefield" width="800" height="400"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Teams of Robots Compete to Save Lives on the Battlefield — Source: spectrum.ieee.org&lt;/p&gt;

&lt;h2&gt;
  
  
  What We Know So Far
&lt;/h2&gt;

&lt;h4&gt;
  
  
  The Initiation of the Triage Challenge
&lt;/h4&gt;

&lt;p&gt;DARPA Triage Challenge — DARPA has initiated a competition where teams of robots are deployed in simulated mass-casualty scenarios. This innovative challenge aims to create solutions that can assist human medics on the battlefield.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fh46nxlactomv6c8blp7f.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fh46nxlactomv6c8blp7f.jpg" alt="Aerial drone, robotic arm, explosion, and medical cross on abstract background." width="800" height="554"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;With the growing need for rapid response in crisis situations, the DARPA Triage Challenge emphasizes efficiency and accuracy in casualty management.&lt;/p&gt;

&lt;h4&gt;
  
  
  Robotic Functions in Triage
&lt;/h4&gt;

&lt;p&gt;The goal of the robots in this challenge is clear: to assist human medics by identifying victims and assessing injury severity amid emergencies. This rapid assessment can help medics allocate their resources effectively.&lt;/p&gt;

&lt;p&gt;The technology encompasses drones and quadruped robots, each playing a role in collecting crucial real-time data regarding casualty status, further enhancing the decision-making process.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key Details and Context
&lt;/h2&gt;

&lt;h3&gt;
  
  
  More Details from the Release
&lt;/h3&gt;

&lt;p&gt;Concerns have been raised about autonomous weapons being used for purposes beyond meaningful human control.&lt;/p&gt;

&lt;p&gt;Debates surrounding robot autonomy in warfare continue to evolve as militaries develop intelligent weapons.&lt;/p&gt;

&lt;p&gt;A vest-mounted Android phone displays a map with GPS locations of casualties, designed for medics to access critical information quickly.&lt;/p&gt;

&lt;p&gt;Kimberly Elenberg, a principal project scientist at Carnegie Mellon, is leading Team Chiron and emphasizes the need for robotic assistance in mass-casualty events.&lt;/p&gt;

&lt;p&gt;The final event of the DARPA Triage Challenge will occur in November, featuring Team Chiron from Carnegie Mellon University.&lt;/p&gt;

&lt;p&gt;The technology involves using drones and ground robots to collect data and provide information on casualty status.&lt;/p&gt;

&lt;p&gt;The goal of the robots in the DARPA Triage Challenge is to assist human medics by identifying victims and assessing injury severity.&lt;/p&gt;

&lt;p&gt;DARPA has initiated a competition where teams of robots are deployed in simulated mass-casualty scenarios.&lt;/p&gt;

&lt;p&gt;Concerns have been raised about autonomous weapons being used for purposes beyond meaningful human control.&lt;/p&gt;

&lt;p&gt;Debates surrounding robot autonomy in warfare continue to evolve as militaries develop intelligent weapons.&lt;/p&gt;

&lt;p&gt;A vest-mounted Android phone displays a map with GPS locations of casualties, designed for medics to access critical information quickly.&lt;/p&gt;

&lt;p&gt;Kimberly Elenberg, a principal project scientist at Carnegie Mellon, is leading Team Chiron and emphasizes the need for robotic assistance in mass-casualty events.&lt;/p&gt;

&lt;p&gt;The final event of the DARPA Triage Challenge will occur in November, featuring Team Chiron from Carnegie Mellon University.&lt;/p&gt;

&lt;p&gt;The technology involves using drones and ground robots to collect data and provide information on casualty status.&lt;/p&gt;

&lt;p&gt;The goal of the robots in the DARPA Triage Challenge is to assist human medics by identifying victims and assessing injury severity.&lt;/p&gt;

&lt;p&gt;DARPA has initiated a competition where teams of robots are deployed in simulated mass-casualty scenarios.&lt;/p&gt;

&lt;h4&gt;
  
  
  Team Chiron's Innovations
&lt;/h4&gt;

&lt;p&gt;One of the notable teams, Team Chiron, hailing from Carnegie Mellon University, is at the forefront of these developments. Leading this team, Kimberly Elenberg stresses the significance of robotic assistance in mass-casualty events.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Ftbiwgdbd7awfx40hdmd0.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Ftbiwgdbd7awfx40hdmd0.png" alt="Teams of Robots Compete to Save Lives on the Battlefield" width="210" height="210"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;blockquote&gt;
&lt;p&gt;“offensive autonomous weapons beyond meaningful human control.”&lt;/p&gt;

&lt;p&gt;— &lt;a href="https://spectrum.ieee.org/do-we-want-robot-warriors-to-decide-who-lives-or-dies" rel="noopener noreferrer"&gt;spectrum.ieee.org&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;p&gt;Under her leadership, the team has designed a vest-mounted Android phone solution that displays a real-time map with GPS locations of casualties, providing medics with critical information quickly.&lt;/p&gt;

&lt;h4&gt;
  
  
  Display and Accessibility
&lt;/h4&gt;

&lt;p&gt;This technological advancement is crucial as it enhances access to necessary data, allowing human medics to perform more effectively in high-pressure situations. The integration of advanced robotics in battlefield medicine marks a shift towards more technology-driven medical responses.&lt;/p&gt;

&lt;h2&gt;
  
  
  What Happens Next
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Upcoming Final Events
&lt;/h4&gt;

&lt;p&gt;The final event of the DARPA Triage Challenge is slated for November 2023. This event is expected to showcase the capabilities of the participating robotic teams, including Team Chiron.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fff4ls4aiwrk290nv3k9z.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fff4ls4aiwrk290nv3k9z.jpg" alt="Teams of Robots Compete to Save Lives on the Battlefield" width="800" height="400"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;The outcomes of this event may reshape the future of medical assistance on the battlefield, deepening the conversation about the evolving role of robots in warfare.&lt;/p&gt;

&lt;h4&gt;
  
  
  The Bigger Picture
&lt;/h4&gt;

&lt;p&gt;As robots are incorporated into warfare, debates surrounding their autonomy and decision-making capabilities also intensify. These discussions align with broader concerns about how militaries are developing intelligent weapons.&lt;/p&gt;

&lt;p&gt;Source: &lt;a href="https://spectrum.ieee.org/do-we-want-robot-warriors-to-decide-who-lives-or-dies" rel="noopener noreferrer"&gt;Do We Want Robot Warriors to Decide Who Lives or Dies?&lt;/a&gt;&lt;/p&gt;

&lt;h2&gt;
  
  
  Why This Matters
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Impact on Future Warfare
&lt;/h4&gt;

&lt;p&gt;This challenge and its resulting innovations provide insights into how medical assistance can evolve with the advent of robotic technology in warfare. The implications can be profound: from potentially saving lives quicker to reshaping military strategies.&lt;/p&gt;

&lt;blockquote&gt;
&lt;p&gt;“assassinations, destabilizing nations, subduing populations and selectively killing a particular ethnic group.”&lt;/p&gt;

&lt;p&gt;— &lt;a href="https://spectrum.ieee.org/do-we-want-robot-warriors-to-decide-who-lives-or-dies" rel="noopener noreferrer"&gt;spectrum.ieee.org&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;p&gt;The integration of robots could herald a new era of crisis management where speed and efficiency are paramount, highlighting the necessity for ongoing discussions surrounding ethics in warfare.&lt;/p&gt;

&lt;h4&gt;
  
  
  Continuing Concerns
&lt;/h4&gt;

&lt;p&gt;Expert voices are expressing that autonomous weapons might lead to considerable humanitarian crises if mismanaged. Technology, while beneficial, necessitates stringent constraints to avoid misuse. For instance, pivotal concerns arise surrounding the deployment of robotic systems in civilian contexts.&lt;/p&gt;

&lt;h2&gt;
  
  
  FAQ
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Frequently Asked Questions
&lt;/h4&gt;

&lt;p&gt;&lt;strong&gt;What is the goal of the DARPA Triage Challenge?&lt;/strong&gt; The challenge aims to create robots that assist medics by identifying and assessing victims in mass-casualty scenarios.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Who is leading Team Chiron?&lt;/strong&gt; Kimberly Elenberg, a project scientist at Carnegie Mellon University, leads Team Chiron.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;What technology do the robots use?&lt;/strong&gt; The robots use drones and ground robots to gather data on casualty status and relay information efficiently.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;When is the final event of the DARPA Triage Challenge?&lt;/strong&gt; The final event is expected to take place in November 2023.&lt;/p&gt;

&lt;h2&gt;
  
  
  Sources
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;  &lt;a href="https://spectrum.ieee.org/darpa-triage-challenge-robots" rel="noopener noreferrer"&gt;Robots Take Center Stage in DARPA Triage Challenge&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://spectrum.ieee.org/do-we-want-robot-warriors-to-decide-who-lives-or-dies" rel="noopener noreferrer"&gt;Do We Want Robot Warriors to Decide Who Lives or Dies?&lt;/a&gt;
&lt;/li&gt;
&lt;/ul&gt;




&lt;p&gt;Originally published on &lt;a href="https://futurpulse.com/teams-of-robots-compete-to-save-lives-on-the-battlefield/" rel="noopener noreferrer"&gt;FuturPulse&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;More from FuturPulse: &lt;a href="https://futurpulse.com" rel="noopener noreferrer"&gt;https://futurpulse.com&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Browse Robotics on FuturPulse: &lt;a href="https://futurpulse.com/category/robotics/" rel="noopener noreferrer"&gt;https://futurpulse.com/category/robotics/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>news</category>
      <category>robotics</category>
      <category>roboticsinwarfare</category>
    </item>
    <item>
      <title>Exa Instant: A Fast Neural Search Engine for Real-Time Workflows</title>
      <dc:creator>alexmorgan</dc:creator>
      <pubDate>Sat, 14 Feb 2026 01:15:58 +0000</pubDate>
      <link>https://dev.to/alexmorgantech/exa-instant-a-fast-neural-search-engine-for-real-time-workflows-2jbh</link>
      <guid>https://dev.to/alexmorgantech/exa-instant-a-fast-neural-search-engine-for-real-time-workflows-2jbh</guid>
      <description>&lt;blockquote&gt;
&lt;p&gt;Originally published on FuturPulse: &lt;a href="https://futurpulse.com/exa-instant-a-fast-neural-search-engine-for-real-time-workflows/?utm_source=devto&amp;amp;utm_medium=syndication&amp;amp;utm_campaign=nea&amp;amp;utm_content=20260214_011246_futurepulse_01" rel="noopener noreferrer"&gt;Exa Instant: A Fast Neural Search Engine for Real-Time Workflows&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;h1&gt;
  
  
  Exa Instant: A Fast Neural Search Engine for Real-Time Workflows
&lt;/h1&gt;

&lt;p&gt;neural search engine — Key Takeaways&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;  Exa Instant provides web data to AI agents in under 200ms, enhancing responsiveness.&lt;/li&gt;
&lt;li&gt;  It enables multiple searches without noticeable delays, crucial for efficient workflows.&lt;/li&gt;
&lt;li&gt;  Built on an end-to-end retrieval stack, it understands query meanings beyond keyword matching.&lt;/li&gt;
&lt;li&gt;  In tests, Exa Instant proved to be up to 15x faster than competitors.&lt;/li&gt;
&lt;li&gt;  Its API simplifies development, delivering clean content ready for language models.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fmbxr4430ube37ltlsphy.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fmbxr4430ube37ltlsphy.png" alt="Exa AI Introduces Exa Instant: A Sub-200ms Neural Search Engine Designed to Eliminate Bottlenecks for Real-Time Agentic Workflows" width="800" height="571"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Exa AI Introduces Exa Instant: A Sub-200ms Neural Search Engine Designed to Eliminate Bottlenecks for Real-Time Agentic Workflows — Source: marktechpost.com&lt;/p&gt;

&lt;h2&gt;
  
  
  What We Know So Far
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Overview of Exa Instant
&lt;/h4&gt;

&lt;p&gt;Exa AI recently unveiled Exa Instant, a neural search engine designed to enhance AI's operational efficiency. By facilitating searches in under 200 milliseconds, it addresses significant latency concerns often faced by real-time workflows.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fwka794rcbp96jtt845av.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fwka794rcbp96jtt845av.png" alt="Exa AI Introduces Exa Instant: A Sub-200ms Neural Search Engine Designed to Eliminate Bottlenecks for Real-Time Agentic Workflows" width="800" height="571"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;This innovative tool is purpose-built to provide AI agents with web data rapidly, performing multiple queries simultaneously without noticeable delays. The capability to respond in under 200ms sets Exa Instant apart in the marketplace, ensuring it meets the needs of time-sensitive applications.&lt;/p&gt;

&lt;h4&gt;
  
  
  Additional Insights
&lt;/h4&gt;

&lt;p&gt;With faster data retrieval times, Exa Instant enhances the user experience by providing seamless interactions that maintain productivity. Developers can leverage the speed of this search tool to create applications that remain responsive, even under heavy usage scenarios.&lt;/p&gt;

&lt;p&gt;As businesses increasingly depend on AI systems to drive efficiency, the role of rapid data access becomes crucial. Exa Instant stands out as a forward-thinking solution that meets these rapidly changing demands.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key Details and Context
&lt;/h2&gt;

&lt;h4&gt;
  
  
  More Details from the Release
&lt;/h4&gt;

&lt;p&gt;The transition to Exa Instant for developers is simplified by its API, which returns clean content ready for language learning models (LLMs). The application's architecture is designed to streamline integration without adding undue complexity, which is critical in fast-paced development environments.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F5xmmz10ax9mkqa7rvbz2.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F5xmmz10ax9mkqa7rvbz2.png" alt="Logo" width="300" height="99"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Exa Instant is particularly suitable for real-time applications where every millisecond counts. Its performance in tests has been impressive, and those results showcase its potential to outperform established players in the market.&lt;/p&gt;

&lt;p&gt;In tests, Exa Instant showed to be up to 15x faster than its competitors like Tavily Ultra Fast and Brave. By combining state-of-the-art technology with practical efficiency, Exa Instant is well-positioned to redefine expectations in the search engine landscape.&lt;/p&gt;

&lt;p&gt;Exa Instant utilizes embeddings and transformers to understand the meaning of a query, rather than just matching keywords. This deeper understanding allows it to return more relevant results, a game-changing feature for users seeking precision in their search outcomes.&lt;/p&gt;

&lt;p&gt;Expanding on its capabilities, Exa Instant is built on a proprietary, end-to-end neural search and retrieval stack. This integrated approach allows for optimization at every stage, ensuring that results are not only fast but also contextually accurate.&lt;/p&gt;

&lt;p&gt;The design also ensures that Exa Instant allows agents to perform multiple searches in a single thought process without noticeable delays. This fluidity enhances the user experience by providing a search engine that behaves more like a human assistant.&lt;/p&gt;

&lt;p&gt;The latency of Exa Instant ranges between 100ms and 200ms, which is a significant advantage over conventional search engines that often struggle to deliver timely results.&lt;/p&gt;

&lt;h4&gt;
  
  
  High-Speed Capabilities
&lt;/h4&gt;

&lt;p&gt;Exa Instant's latency ranges between 100ms and 200ms, making it a game-changer for applications requiring immediate responses. The engine's design incorporates advanced embeddings and transformers, moving beyond traditional keyword matches to grasp the deeper meanings within queries.&lt;/p&gt;

&lt;p&gt;In rigorous benchmark tests, Exa Instant has shown speeds up to 15 times superior to competitors like Tavily Ultra Fast and Brave, asserting its position as a leader in fast search technology. These enhancements confirm the engine’s ability to handle various requests efficiently without delay.&lt;/p&gt;

&lt;h2&gt;
  
  
  What Happens Next
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Integration into Real-time Workflows
&lt;/h4&gt;

&lt;p&gt;The deployment of Exa Instant can streamline various applications where every millisecond is critical, particularly in customer support, data analysis, and AI-driven decision-making tools. Developers can transition easily to this system thanks to its clean API, facilitating quick integration into existing architectures.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F3ksbzvdsdj2dpdy6okwv.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F3ksbzvdsdj2dpdy6okwv.png" alt="Logo" width="800" height="264"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;This adaptability promises not only enhanced search performance but also an overall improvement in the efficiency of workflows, proving invaluable in a fast-paced digital landscape. The ability to quickly adapt to changing requirements sets Exa Instant apart from its competitors, allowing businesses to stay focused on innovation rather than operational hurdles.&lt;/p&gt;

&lt;h2&gt;
  
  
  Why This Matters
&lt;/h2&gt;

&lt;h4&gt;
  
  
  Impacts on AI Efficiency
&lt;/h4&gt;

&lt;p&gt;The introduction of Exa Instant represents a significant advancement for AI agents needing swift data retrieval. As reliance on AI continues to grow across industries, the ability to minimize search delays is paramount. The importance of timely information access cannot be overstated, with organizations continually seeking advantages in speed and precision.&lt;/p&gt;

&lt;p&gt;By replacing traditional bottlenecks with rapid, accurate search capabilities, Exa AI is paving the way for smarter, more responsive AI systems that can better serve users and applications alike. This shift signifies a broader transformation within the tech landscape, marking the evolution of intelligent systems that prioritize user demands.&lt;/p&gt;

&lt;h2&gt;
  
  
  FAQ
&lt;/h2&gt;

&lt;p&gt;Here are some common questions about Exa Instant:&lt;/p&gt;

&lt;h4&gt;
  
  
  What is Exa Instant?
&lt;/h4&gt;

&lt;p&gt;Exa Instant is a neural search engine designed to deliver results in under 200ms for real-time workflows.&lt;/p&gt;

&lt;h4&gt;
  
  
  How fast is Exa Instant compared to other search engines?
&lt;/h4&gt;

&lt;p&gt;It is up to 15x faster than competitors like Tavily Ultra Fast and Brave.&lt;/p&gt;

&lt;h4&gt;
  
  
  What technology does Exa Instant use?
&lt;/h4&gt;

&lt;p&gt;It employs embeddings and transformers to understand query meanings, improving search accuracy.&lt;/p&gt;

&lt;h4&gt;
  
  
  Is Exa Instant suitable for real-time applications?
&lt;/h4&gt;

&lt;p&gt;Yes, it is particularly suitable for applications where every millisecond counts.&lt;/p&gt;

&lt;h2&gt;
  
  
  Sources
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;  &lt;a href="https://marktechpost.com/2026/02/13/exa-ai-introduces-exa-instant-a-sub-200ms-neural-search-engine-designed-to-eliminate-bottlenecks-for-real-time-agentic-workflows" rel="noopener noreferrer"&gt;Exa AI Introduces Exa Instant: A Sub-200ms Neural Search Engine Designed to Eliminate Bottlenecks for Real-Time Agentic Workflows&lt;/a&gt;
&lt;/li&gt;
&lt;/ul&gt;




&lt;p&gt;Originally published on &lt;a href="https://futurpulse.com/exa-instant-a-fast-neural-search-engine-for-real-time-workflows/" rel="noopener noreferrer"&gt;FuturPulse&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;More from FuturPulse: &lt;a href="https://futurpulse.com" rel="noopener noreferrer"&gt;https://futurpulse.com&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Browse AI on FuturPulse: &lt;a href="https://futurpulse.com/category/ai/" rel="noopener noreferrer"&gt;https://futurpulse.com/category/ai/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>news</category>
      <category>exaai</category>
      <category>realtimeworkflows</category>
    </item>
    <item>
      <title>US Deputy Health Secretary Affirms Vaccine Guidelines Could Change</title>
      <dc:creator>alexmorgan</dc:creator>
      <pubDate>Fri, 13 Feb 2026 15:40:30 +0000</pubDate>
      <link>https://dev.to/alexmorgantech/us-deputy-health-secretary-affirms-vaccine-guidelines-could-change-2bc4</link>
      <guid>https://dev.to/alexmorgantech/us-deputy-health-secretary-affirms-vaccine-guidelines-could-change-2bc4</guid>
      <description>&lt;blockquote&gt;
&lt;p&gt;Originally published on FuturPulse: &lt;a href="https://futurpulse.com/us-deputy-health-secretary-affirms-vaccine-guidelines-could-change/?utm_source=devto&amp;amp;utm_medium=syndication&amp;amp;utm_campaign=nea&amp;amp;utm_content=20260213_153802_futurepulse_10" rel="noopener noreferrer"&gt;US Deputy Health Secretary Affirms Vaccine Guidelines Could Change&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;h1&gt;
  
  
  US Deputy Health Secretary Affirms Vaccine Guidelines Could Change
&lt;/h1&gt;

&lt;p&gt;&lt;strong&gt;Key Takeaways&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;  Vaccine guidelines can still change as announced by the US Deputy Health Secretary.&lt;/li&gt;
&lt;li&gt;  ARPA-H is prioritizing high-risk, high-reward innovations in health technologies.&lt;/li&gt;
&lt;li&gt;  The appointment of Robert F. Kennedy Jr. as HHS head raises concerns over potential shifts in vaccine policies.&lt;/li&gt;
&lt;li&gt;  Vaccination policy in the US is largely determined by the CDC, which could be affected by political appointments.&lt;/li&gt;
&lt;li&gt;  Public concern exists regarding vaccine hesitancy influenced by changing health guidelines.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F42a1d0vket8tt27rx4vx.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F42a1d0vket8tt27rx4vx.jpg" alt="US Deputy Health Secretary: Vaccine Guidelines Are Still Subject to Change" width="800" height="400"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;US Deputy Health Secretary: Vaccine Guidelines Are Still Subject to Change — Source: technologyreview.com&lt;/p&gt;

&lt;h2&gt;
  
  
  What We Know So Far
&lt;/h2&gt;

&lt;p&gt;The US Deputy Health Secretary has recently affirmed that vaccine guidelines are still subject to change. This statement comes amidst ongoing discussions about public health and the political climate that could influence these guidelines.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Faeelhvr64tg7r1z8c3zk.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Faeelhvr64tg7r1z8c3zk.jpg" alt="Jim O'Neill, Department of Health and Human Services" width="800" height="450"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Current leadership at Health and Human Services (HHS) is working to address chronic diseases and improve health outcomes, but the potential return of Donald Trump to the presidency could change the direction of vaccine policies significantly.&lt;/p&gt;

&lt;h4&gt;
  
  
  Concerns Over Future Guidelines
&lt;/h4&gt;

&lt;p&gt;According to reports, the anticipated return of Trump raises substantial concerns about the potential shifts in vaccination guidelines and policies. If Trump is elected and appoints figures like Robert F. Kennedy Jr., known for his anti-vaccine stance, to lead the HHS, it could turn the vaccine conversation in a controversial direction.&lt;/p&gt;

&lt;p&gt;As stated, “Concerns regarding vaccine hesitancy stem from the political appointments made by Donald Trump,” highlighting the urgency of monitoring how this administration might redefine vaccine protocols.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key Details and Context
&lt;/h2&gt;

&lt;h3&gt;
  
  
  More Details from the Release
&lt;/h3&gt;

&lt;p&gt;Changes in who leads the Department of Health and Human Services could directly affect vaccination policies.&lt;/p&gt;

&lt;p&gt;Vaccine guidelines in the US are determined by the Centers for Disease Control and Prevention (CDC).&lt;/p&gt;

&lt;p&gt;Concerns regarding vaccine hesitancy stem from the political appointments made by Donald Trump.&lt;/p&gt;

&lt;p&gt;Donald Trump has selected Robert F. Kennedy Jr., a prominent anti-vaccine advocate, to lead the Department of Health and Human Services.&lt;/p&gt;

&lt;p&gt;There is significant concern about potential changes to vaccine guidelines with the anticipated return of Donald Trump to the White House.&lt;/p&gt;

&lt;p&gt;The new director of ARPA-H, Alicia Jackson, was hired for her interest in longevity.&lt;/p&gt;

&lt;p&gt;ARPA-H will focus on high-risk, high-reward innovations in health technologies.&lt;/p&gt;

&lt;p&gt;Vaccine guidelines are still subject to change according to the US Deputy Health Secretary.&lt;/p&gt;

&lt;p&gt;Changes in who leads the Department of Health and Human Services could directly affect vaccination policies.&lt;/p&gt;

&lt;p&gt;Vaccine guidelines in the US are determined by the Centers for Disease Control and Prevention (CDC).&lt;/p&gt;

&lt;p&gt;Concerns regarding vaccine hesitancy stem from the political appointments made by Donald Trump.&lt;/p&gt;

&lt;p&gt;Donald Trump has selected Robert F. Kennedy Jr., a prominent anti-vaccine advocate, to lead the Department of Health and Human Services.&lt;/p&gt;

&lt;p&gt;There is significant concern about potential changes to vaccine guidelines with the anticipated return of Donald Trump to the White House.&lt;/p&gt;

&lt;p&gt;The new director of ARPA-H, Alicia Jackson, was hired for her interest in longevity.&lt;/p&gt;

&lt;p&gt;ARPA-H will focus on high-risk, high-reward innovations in health technologies.&lt;/p&gt;

&lt;p&gt;Vaccine guidelines are still subject to change according to the US Deputy Health Secretary.&lt;/p&gt;

&lt;p&gt;ARPA-H (Advanced Research Projects Agency for Health) has been positioned to innovate transformative health technologies, prioritizing high-risk, high-reward projects. The new director, Alicia Jackson, recognizes the necessity to address pressing health issues.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fccti5tndwux1v0ut62k2.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fccti5tndwux1v0ut62k2.png" alt="US Deputy Health Secretary: Vaccine Guidelines Are Still Subject to Change" width="800" height="400"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;blockquote&gt;
&lt;p&gt;“If I could describe one common theme to the senior leadership at HHS, obviously it’s to make America healthy again, and reversing aging damage is all about making people healthy again,”&lt;/p&gt;

&lt;p&gt;— &lt;a href="https://technologyreview.com/2026/02/13/1132889/us-deputy-health-secretary-vaccine-guidelines-longevity-arpa-h-cdc-nih" rel="noopener noreferrer"&gt;technologyreview.com&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;p&gt;As she puts it, “high-risk, high-reward innovation for the development and translation of transformative health technologies” is expected to be fundamental to their mission. The focus on reversing chronic diseases indicates a shift towards longevity and wellness.&lt;/p&gt;

&lt;h4&gt;
  
  
  Current Recommendations and Guidelines
&lt;/h4&gt;

&lt;p&gt;Vaccine guidelines in the United States are primarily established by the Centers for Disease Control and Prevention (CDC). With ongoing political changes, the continuity of these guidelines may be jeopardized, which could lead to variations in vaccination status and rates across the country.&lt;/p&gt;

&lt;p&gt;As the US Deputy Health Secretary noted, “You’ll see a lot of funding more focused on important priorities that actually improve people’s health,” which suggests a significant investment in public health initiatives.&lt;/p&gt;

&lt;h2&gt;
  
  
  What Happens Next
&lt;/h2&gt;

&lt;p&gt;The health sector is on alert as discussions evolve around vaccination protocols. Should new leadership emerge at HHS, significant shifts may occur that directly affect vaccine distribution and public health guidelines.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fvllh6p3jg2cxkudirugf.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fvllh6p3jg2cxkudirugf.jpg" alt="US Deputy Health Secretary: Vaccine Guidelines Are Still Subject to Change" width="800" height="400"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Health officials are prepared to ensure the ongoing assessment of vaccination policies, requiring vigilance in the face of political influences that may arise from upcoming elections.&lt;/p&gt;

&lt;h4&gt;
  
  
  Monitoring New Developments
&lt;/h4&gt;

&lt;p&gt;Health experts emphasize the importance of transparency and public communication regarding any potential changes to vaccine guidelines. This underscores the need for keeping the population informed and engaged in public health discussions.&lt;/p&gt;

&lt;h2&gt;
  
  
  Why This Matters
&lt;/h2&gt;

&lt;p&gt;The flexibility of vaccine guidelines is crucial as it impacts the public's receptiveness to vaccinations and overall health behavior. The dynamics of political influence on health policies can significantly shape the landscape of public health, especially with potential leadership changes.&lt;/p&gt;

&lt;blockquote&gt;
&lt;p&gt;“We are refocusing HHS on addressing and reversing chronic disease, and chronic diseases are what drive aging, broadly.”&lt;/p&gt;

&lt;p&gt;— &lt;a href="https://technologyreview.com/2026/02/13/1132889/us-deputy-health-secretary-vaccine-guidelines-longevity-arpa-h-cdc-nih" rel="noopener noreferrer"&gt;technologyreview.com&lt;/a&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;p&gt;Being aware and prepared for these changes is essential in combating vaccine hesitancy and promoting wider acceptance of vaccination as a public health measure.&lt;/p&gt;

&lt;h2&gt;
  
  
  FAQ
&lt;/h2&gt;

&lt;p&gt;The ongoing discussion around vaccine guidelines has raised several questions. Below are some frequently asked questions regarding the current situation.&lt;/p&gt;

&lt;h4&gt;
  
  
  Frequently Asked Questions
&lt;/h4&gt;

&lt;h4&gt;
  
  
  What did the US Deputy Health Secretary say about vaccine guidelines?
&lt;/h4&gt;

&lt;p&gt;The US Deputy Health Secretary stated that vaccine guidelines are still subject to change.&lt;/p&gt;

&lt;h4&gt;
  
  
  What role does ARPA-H play in vaccine innovation?
&lt;/h4&gt;

&lt;p&gt;ARPA-H focuses on high-risk, high-reward innovations in health technologies, including vaccines.&lt;/p&gt;

&lt;h4&gt;
  
  
  How might political changes affect vaccine guidelines?
&lt;/h4&gt;

&lt;p&gt;Political changes, such as new leadership in HHS, could directly impact the vaccine guidelines set by the CDC.&lt;/p&gt;

&lt;h2&gt;
  
  
  Sources
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;  &lt;a href="https://technologyreview.com/2026/02/13/1132889/us-deputy-health-secretary-vaccine-guidelines-longevity-arpa-h-cdc-nih" rel="noopener noreferrer"&gt;US deputy health secretary: Vaccine guidelines are still subject to change&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://technologyreview.com/topic/biotechnology" rel="noopener noreferrer"&gt;Biotechnology and health&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;  &lt;a href="https://technologyreview.com/2024/12/20/1109087/childhood-vaccines-public-health-success" rel="noopener noreferrer"&gt;Why childhood vaccines are a public health success story&lt;/a&gt;
&lt;/li&gt;
&lt;/ul&gt;




&lt;p&gt;Originally published on &lt;a href="https://futurpulse.com/us-deputy-health-secretary-affirms-vaccine-guidelines-could-change/" rel="noopener noreferrer"&gt;FuturPulse&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;More from FuturPulse: &lt;a href="https://futurpulse.com" rel="noopener noreferrer"&gt;https://futurpulse.com&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Browse News on FuturPulse: &lt;a href="https://futurpulse.com/category/news/" rel="noopener noreferrer"&gt;https://futurpulse.com/category/news/&lt;/a&gt;&lt;/p&gt;

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      <category>usdeputyhealthsecretary</category>
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