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AI Organizations and Media #268

#tech #ai #coding

🤖 AI in Healthcare - Collaborative Grants for AI in Healthcare

Four collaborative grants of $50,000 each are available to researchers at the University of Toronto and Nanyang Technological University for Artificial Intelligence (AI) in healthcare. The grants aim to support innovative research projects that leverage AI to improve healthcare outcomes.

Key Points:

  • Collaborative Grants: The grants are designed to foster collaboration between researchers from the University of Toronto and Nanyang Technological University to develop innovative AI solutions for healthcare.

  • AI in Healthcare: The grants focus on supporting research projects that leverage AI to improve healthcare outcomes, such as disease diagnosis, treatment, and patient care.

  • Grant Amount: Each grant is worth $50,000, providing researchers with the necessary funding to conduct their projects.

  • Deadline: The deadline for applying for the grants is October 2, 2026.

🔗 Resources:

  • Original post
  • University of Toronto
  • Nanyang Technological University
  • AI in Healthcare

🤖 Agent Governance and Visual Grounding Techniques

Be part of the TWIML community and join the Generative AI study group every Friday at 8 am PT. The group will explore visual grounding techniques, Mixture-of-Modality models, and agent governance.

Key Points:

  • TWIML Community: The TWIML community is a platform for discussing and learning about AI and machine learning.

  • Generative AI Study Group: The study group focuses on exploring Generative AI techniques, including visual grounding and Mixture-of-Modality models.

  • Agent Governance: The group will also discuss agent governance, which is essential for ensuring that AI systems are transparent and accountable.

  • Join the Study Group: Join the study group every Friday at 8 am PT to learn more about Generative AI and its applications.

🔗 Resources:

🤖 Ask Network - Decentralized Protocol for Real-World Negotiations

Member spotlight: Bruno Zell builds Ask Network, a decentralized protocol and on-chain order book for actionable real-world negotiations.

Key Points:

  • Ask Network: Ask Network is a decentralized protocol that enables real-world negotiations.

  • Decentralized Protocol: The protocol is built on a decentralized architecture, allowing for secure and transparent negotiations.

  • On-chain Order Book: The protocol features an on-chain order book, which enables the creation and management of negotiation contracts.

  • Real-World Negotiations: Ask Network is designed for real-world negotiations, providing a platform for parties to engage in secure and transparent negotiations.

🔗 Resources:

🤖 NVIDIA Halos - Full-Stack Safety Platform for Autonomous Vehicles and Robotics

Safe physical AI doesn't happen by accident. Come see how it's done at NVIDIA GTC in Berlin this October. Riccardo Mariani, VP of Industry Safety at NVIDIA, will be breaking down how NVIDIA Halos delivers a full-stack safety platform for autonomous vehicles and robotics.

Key Points:

  • NVIDIA Halos: NVIDIA Halos is a full-stack safety platform designed for autonomous vehicles and robotics.

  • Full-Stack Safety Platform: The platform provides a comprehensive safety solution, covering all aspects of autonomous vehicle and robotics development.

  • Autonomous Vehicles and Robotics: NVIDIA Halos is designed for autonomous vehicles and robotics, providing a safe and reliable solution for these applications.

  • NVIDIA GTC: Attend NVIDIA GTC in Berlin this October to learn more about NVIDIA Halos and its applications.

🔗 Resources:

🤖 Intercognitive - Building Robots to Build Other Robots

Oh we are just building robots to build other robots and build data centers for their brains that can solve unsolved problems in mathematics beyond human knowledge. It's probably nothing.

Key Points:

  • Intercognitive: Intercognitive is a project focused on building robots that can build other robots.

  • Robots Building Other Robots: The project aims to create a system where robots can build other robots, potentially leading to the creation of complex systems.

  • Data Centers for AI: The project also involves building data centers for AI systems, which can solve complex problems in mathematics.

  • Unsolved Problems in Mathematics: The project aims to solve unsolved problems in mathematics, potentially leading to breakthroughs in various fields.

🔗 Resources:

🤖 Agora-2 - Shared Simulated World for Training Robots and Agents

The applications of new world models like Agora-2 are mind-blowing. Agora-2 now lets up to 20 humans and agents share one simulated world in real time. That means you can train robots, self-driving cars, and cyber defense agents together, and each one improves as the others get better.

Key Points:

  • Agora-2: Agora-2 is a new world model that enables the creation of shared simulated worlds.

  • Shared Simulated World: The model allows up to 20 humans and agents to share one simulated world in real time.

  • Training Robots and Agents: Agora-2 enables the training of robots, self-driving cars, and cyber defense agents together.

  • Improved Performance: The model allows each agent to improve as the others get better, leading to improved performance.

🔗 Resources:

🤖 Sepsis Detection System - AI-Powered System for Early Detection

An AI-powered system built by Johns Hopkins Engineer Suchi Saria and her team now operates in over 40 hospitals nationwide, detecting sepsis before doctors may even suspect it. CNN's Jake Tapper featured the technology this week as part of the network's "AI Friend or Foe" series.

Key Points:

  • Sepsis Detection System: The system is an AI-powered tool designed to detect sepsis early.

  • AI-Powered System: The system uses AI to analyze patient data and detect sepsis before it becomes severe.

  • Nationwide Deployment: The system is currently operating in over 40 hospitals nationwide.

  • Early Detection: The system enables early detection of sepsis, potentially saving lives.

🔗 Resources:

🤖 The Mu - AI-Powered Short Film

Team: Director (the one clicking the 'export' button): @bonecato Cinematography (CCD camera movement god): Junjie Dialogue: @sunbh_eth, @Aqua_Aguo, @bonecato — with help of our beloved ChatGPT Editing: Junjie, @bonecato Shot on: CCD camera (yes, no AI involved at all).

Key Points:

  • The Mu: The Mu is an AI-powered short film.

  • AI-Powered Film: The film uses AI to create a unique and engaging story.

  • Collaborative Effort: The film was created through a collaborative effort between multiple individuals and AI systems.

  • No AI Involvement: Despite being an AI-powered film, The Mu was shot on a CCD camera with no AI involvement.

🔗 Resources:

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Interactive version: blogs.drix10.com

Written by Drishtant Ghosh (Drix10), a technical founder and engineer working across AI systems, developer infrastructure, and cybersecurity.

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