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    <title>DEV Community: Voxel51</title>
    <description>The latest articles on DEV Community by Voxel51 (@voxel51).</description>
    <link>https://dev.to/voxel51</link>
    <image>
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      <title>DEV Community: Voxel51</title>
      <link>https://dev.to/voxel51</link>
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    <language>en</language>
    <item>
      <title>Thursday: April 9 - Visual AI Agents Workshop</title>
      <dc:creator>Jimmy Guerrero</dc:creator>
      <pubDate>Tue, 07 Apr 2026 18:23:18 +0000</pubDate>
      <link>https://dev.to/voxel51/thursday-april-9-visual-ai-agents-workshop-5aff</link>
      <guid>https://dev.to/voxel51/thursday-april-9-visual-ai-agents-workshop-5aff</guid>
      <description>&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%2Fuwvdui5f2l1qn3u7tzd1.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%2Fuwvdui5f2l1qn3u7tzd1.png" alt=" " width="800" height="420"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Join us on April 9 at 9 AM Pacific for the &lt;strong&gt;Visual Agents: What it Takes to Build an Agent that can Navigate GUIs like Humans&lt;/strong&gt; virtual workshop.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://voxel51.com/events/visual-agents-what-it-takes-to-build-an-agent-that-can-navigate-guis-like-humans-april-9-2026" rel="noopener noreferrer"&gt;&lt;strong&gt;Register for the Zoom&lt;/strong&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;This hands-on workshop provides a comprehensive introduction to building and evaluating visual agents for GUI automation using modern tools and techniques. Participants will learn how to leverage FiftyOne, an open-source toolkit for dataset curation and computer vision workflows, to build production-ready GUI agent systems.&lt;/p&gt;

&lt;p&gt;What You'll Learn:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;Dataset Creation &amp;amp; Management:&lt;/strong&gt; How to structure, annotate, and load GUI interaction datasets using the COCO4GUI standardized format&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Data Exploration &amp;amp; Analysis:&lt;/strong&gt; Using FiftyOne's interactive interface to visualize datasets, analyze action distributions, and understand annotation patterns&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Multimodal Embeddings:&lt;/strong&gt; Computing embeddings for screenshots and UI element patches to enable similarity search and retrieval&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Model Inference:&lt;/strong&gt; Running state-of-the-art models like Microsoft's GUI-Actor to predict interaction points from natural language instructions&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Performance Evaluation:&lt;/strong&gt; Measuring model accuracy using standard metrics and normalized click distance to assess localization precision&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Failure Analysis:&lt;/strong&gt; Investigating model failures through attention maps, error pattern analysis, and systematic debugging workflows&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Data-Driven Improvement:&lt;/strong&gt; Tagging samples based on error types (attention misalignment vs. localization errors) to prioritize fine-tuning efforts&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Synthetic Data Generation:&lt;/strong&gt; Using FiftyOne plugins to augment training data with synthetic task descriptions and variations&lt;/li&gt;
&lt;/ul&gt;

</description>
      <category>ai</category>
      <category>machinelearning</category>
      <category>computervision</category>
      <category>datascience</category>
    </item>
    <item>
      <title>Wednesday : April 8 - Computer Vision Workflows Workshop</title>
      <dc:creator>Jimmy Guerrero</dc:creator>
      <pubDate>Mon, 06 Apr 2026 17:48:20 +0000</pubDate>
      <link>https://dev.to/voxel51/wednesday-april-8-computer-vision-workflows-workshop-39n6</link>
      <guid>https://dev.to/voxel51/wednesday-april-8-computer-vision-workflows-workshop-39n6</guid>
      <description>&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%2F3sz5mpnuxnwv18k8vfj5.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%2F3sz5mpnuxnwv18k8vfj5.png" alt=" " width="800" height="420"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Join us on April 8 at 10 AM Pacific for a free, 60-minute, virtual hands-on workshop to learn how to curate, visualize, and evaluate models using the open source &lt;a href="https://docs.voxel51.com/" rel="noopener noreferrer"&gt;FiftyOne app&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://voxel51.com/events/getting-started-with-fiftyone-april-8-2026" rel="noopener noreferrer"&gt;&lt;strong&gt;Register for the Zoom&lt;/strong&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;What you'll learn:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;Structure unstructured data.&lt;/strong&gt; Map data and metadata into a queryable schema for images, videos, and point clouds.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Query datasets with the FiftyOne SDK&lt;/strong&gt;. Create complex views based on model predictions, labels, and custom tags. Use the FiftyOne to filter data based on logical conditions and confidence scores.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Visualize high dimensional embeddings.&lt;/strong&gt; Project features into lower dimensions to find clusters of similar samples. Identify data gaps and outliers using FiftyOne Brain.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Automate data curation.&lt;/strong&gt; Implement algorithmic measures to select diverse subsets for training. Reduce labeling costs by prioritizing high entropy samples.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Debug model performance.&lt;/strong&gt; Run evaluation routines to generate confusion matrices and precision recall curves. Visualize false positives and false negatives directly in the App to understand model failures.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Customize FiftyOne.&lt;/strong&gt; Build custom dashboards and interactive panels. Create specialized views for domain specific tasks.&lt;/li&gt;
&lt;/ul&gt;

</description>
      <category>ai</category>
      <category>agents</category>
      <category>mcp</category>
      <category>computervision</category>
    </item>
    <item>
      <title>April 9 - Visual AI Agents Workshop</title>
      <dc:creator>Jimmy Guerrero</dc:creator>
      <pubDate>Fri, 03 Apr 2026 21:23:06 +0000</pubDate>
      <link>https://dev.to/voxel51/april-9-visual-ai-agents-workshop-482m</link>
      <guid>https://dev.to/voxel51/april-9-visual-ai-agents-workshop-482m</guid>
      <description>&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%2Fuwvdui5f2l1qn3u7tzd1.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%2Fuwvdui5f2l1qn3u7tzd1.png" alt=" " width="800" height="420"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Join us on April 9 at 9 AM Pacific for the &lt;strong&gt;Visual Agents: What it Takes to Build an Agent that can Navigate GUIs like Humans&lt;/strong&gt; virtual workshop.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://voxel51.com/events/visual-agents-what-it-takes-to-build-an-agent-that-can-navigate-guis-like-humans-april-9-2026" rel="noopener noreferrer"&gt;&lt;strong&gt;Register for the Zoom&lt;/strong&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;This hands-on workshop provides a comprehensive introduction to building and evaluating visual agents for GUI automation using modern tools and techniques. Participants will learn how to leverage FiftyOne, an open-source toolkit for dataset curation and computer vision workflows, to build production-ready GUI agent systems.&lt;/p&gt;

&lt;p&gt;What You'll Learn:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;Dataset Creation &amp;amp; Management:&lt;/strong&gt; How to structure, annotate, and load GUI interaction datasets using the COCO4GUI standardized format&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Data Exploration &amp;amp; Analysis:&lt;/strong&gt; Using FiftyOne's interactive interface to visualize datasets, analyze action distributions, and understand annotation patterns&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Multimodal Embeddings:&lt;/strong&gt; Computing embeddings for screenshots and UI element patches to enable similarity search and retrieval&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Model Inference:&lt;/strong&gt; Running state-of-the-art models like Microsoft's GUI-Actor to predict interaction points from natural language instructions&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Performance Evaluation:&lt;/strong&gt; Measuring model accuracy using standard metrics and normalized click distance to assess localization precision&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Failure Analysis:&lt;/strong&gt; Investigating model failures through attention maps, error pattern analysis, and systematic debugging workflows&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Data-Driven Improvement:&lt;/strong&gt; Tagging samples based on error types (attention misalignment vs. localization errors) to prioritize fine-tuning efforts&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Synthetic Data Generation:&lt;/strong&gt; Using FiftyOne plugins to augment training data with synthetic task descriptions and variations&lt;/li&gt;
&lt;/ul&gt;

</description>
      <category>ai</category>
      <category>machinelearning</category>
      <category>computervision</category>
      <category>datascience</category>
    </item>
    <item>
      <title>April 8 - Getting Started with Computer Vision Workflows Workshop</title>
      <dc:creator>Jimmy Guerrero</dc:creator>
      <pubDate>Thu, 02 Apr 2026 15:32:50 +0000</pubDate>
      <link>https://dev.to/voxel51/april-8-getting-started-with-computer-vision-workflows-workshop-1mf8</link>
      <guid>https://dev.to/voxel51/april-8-getting-started-with-computer-vision-workflows-workshop-1mf8</guid>
      <description>&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%2F3sz5mpnuxnwv18k8vfj5.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%2F3sz5mpnuxnwv18k8vfj5.png" alt=" " width="800" height="420"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Join us on April 8 at 10 AM Pacific for a free, 60-minute, virtual hands-on workshop to learn how to curate, visualize, and evaluate models using the open source &lt;a href="https://docs.voxel51.com/" rel="noopener noreferrer"&gt;FiftyOne app&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://voxel51.com/events/getting-started-with-fiftyone-april-8-2026" rel="noopener noreferrer"&gt;&lt;strong&gt;Register for the Zoom&lt;/strong&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;What you'll learn:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;Structure unstructured data.&lt;/strong&gt; Map data and metadata into a queryable schema for images, videos, and point clouds.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Query datasets with the FiftyOne SDK&lt;/strong&gt;. Create complex views based on model predictions, labels, and custom tags. Use the FiftyOne to filter data based on logical conditions and confidence scores.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Visualize high dimensional embeddings.&lt;/strong&gt; Project features into lower dimensions to find clusters of similar samples. Identify data gaps and outliers using FiftyOne Brain.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Automate data curation.&lt;/strong&gt; Implement algorithmic measures to select diverse subsets for training. Reduce labeling costs by prioritizing high entropy samples.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Debug model performance.&lt;/strong&gt; Run evaluation routines to generate confusion matrices and precision recall curves. Visualize false positives and false negatives directly in the App to understand model failures.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Customize FiftyOne.&lt;/strong&gt; Build custom dashboards and interactive panels. Create specialized views for domain specific tasks.&lt;/li&gt;
&lt;/ul&gt;

</description>
      <category>ai</category>
      <category>agents</category>
      <category>machinelearning</category>
      <category>computervision</category>
    </item>
    <item>
      <title>Thursday: April 2 - AI, ML and Computer Vision Meetup</title>
      <dc:creator>Jimmy Guerrero</dc:creator>
      <pubDate>Wed, 01 Apr 2026 18:06:06 +0000</pubDate>
      <link>https://dev.to/voxel51/thursday-april-2-ai-ml-and-computer-vision-meetup-3p06</link>
      <guid>https://dev.to/voxel51/thursday-april-2-ai-ml-and-computer-vision-meetup-3p06</guid>
      <description>&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%2F13z7vsfxskklxi6zis2w.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%2F13z7vsfxskklxi6zis2w.png" alt=" " width="800" height="420"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Join us on April 2 at 9 AM Pacific for the monthly AI, ML and Computer Vision Meetup!&lt;/p&gt;

&lt;p&gt;&lt;a href="https://voxel51.com/events/ai-ml-and-computer-vision-meetup-april-2-2026" rel="noopener noreferrer"&gt;&lt;strong&gt;Register for the Zoom&lt;/strong&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Talks will include:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;Visual AI at the Edge: Beyond the Model&lt;/strong&gt; - David Moser at Orella Vision&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Sanitizing Evaluation Datasets: From Detection to Correction&lt;/strong&gt; - Nick Lotz at Voxel51&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Async Agents in Production: Failure Modes and Fixes&lt;/strong&gt; - Meryem Arik at Doubleword&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Building enterprise agentic systems that scale&lt;/strong&gt; - Aman Sardana at Cisco&lt;/li&gt;
&lt;/ul&gt;

</description>
      <category>ai</category>
      <category>computervision</category>
      <category>machinelearning</category>
      <category>opensource</category>
    </item>
    <item>
      <title>April 2 - AI, ML and Computer Vision Meetup</title>
      <dc:creator>Jimmy Guerrero</dc:creator>
      <pubDate>Fri, 27 Mar 2026 17:05:14 +0000</pubDate>
      <link>https://dev.to/voxel51/april-2-ai-ml-and-computer-vision-meetup-33na</link>
      <guid>https://dev.to/voxel51/april-2-ai-ml-and-computer-vision-meetup-33na</guid>
      <description>&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%2F8kqot8l2akh1zqcy1kuu.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%2F8kqot8l2akh1zqcy1kuu.png" alt=" " width="800" height="420"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Join us on April 2 at 9 AM Pacific for the monthly AI, ML and Computer Vision Meetup!&lt;/p&gt;

&lt;p&gt;&lt;a href="https://voxel51.com/events/ai-ml-and-computer-vision-meetup-april-2-2026" rel="noopener noreferrer"&gt;&lt;strong&gt;Register for the Zoom&lt;/strong&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Talks will include:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;Visual AI at the Edge: Beyond the Model&lt;/strong&gt; - David Moser at Orella Vision&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Sanitizing Evaluation Datasets: From Detection to Correction&lt;/strong&gt; - Nick Lotz at Voxel51&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Async Agents in Production: Failure Modes and Fixes&lt;/strong&gt; - Meryem Arik at Doubleword&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Building enterprise agentic systems that scale&lt;/strong&gt; - Aman Sardana at Cisco&lt;/li&gt;
&lt;/ul&gt;

</description>
      <category>ai</category>
      <category>computervision</category>
      <category>machinelearning</category>
      <category>opensource</category>
    </item>
    <item>
      <title>March 26 - Advances in AI at Northeastern Virtual Meetup</title>
      <dc:creator>Jimmy Guerrero</dc:creator>
      <pubDate>Tue, 24 Mar 2026 18:46:10 +0000</pubDate>
      <link>https://dev.to/voxel51/march-26-advances-in-ai-at-northeastern-virtual-meetup-32gb</link>
      <guid>https://dev.to/voxel51/march-26-advances-in-ai-at-northeastern-virtual-meetup-32gb</guid>
      <description>&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%2Fay0caeg842pbark5g50n.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%2Fay0caeg842pbark5g50n.png" alt=" " width="800" height="420"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Join us on March 26 at 9 AM Pacific for the Advances in AI at Northeastern University virtual Meetup! &lt;/p&gt;

&lt;p&gt;&lt;a href="https://voxel51.com/events/advances-in-ai-at-northeastern-university-march-26-2026" rel="noopener noreferrer"&gt;&lt;strong&gt;Register for the Zoom&lt;/strong&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;This special event will feature some of the latest research happening at NEU.&lt;/p&gt;

&lt;p&gt;Talks will include:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;Physical AI Research (PAIR) Center: Foundational Pairing of Digital Intelligence &amp;amp; Physical World Deployments&lt;/strong&gt; - Edmund Yeh at Northeastern University&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Grounding Visual AI Models in Real-World Physics&lt;/strong&gt; - Sarah Ostadabbas and Xiangyu Bai at Northeastern University&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;WorldFormer: Diffusion Transformer World Models with Mixture-of-Experts for Embodied Physical Intelligence&lt;/strong&gt; - Yanzhi Wang at Northeastern University&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Scalable and Efficient Deep Learning: From Understanding to Generation&lt;/strong&gt; - Yitian Zhang at Northeastern University&lt;/li&gt;
&lt;/ul&gt;

</description>
      <category>ai</category>
      <category>computervision</category>
      <category>machinelearning</category>
      <category>agents</category>
    </item>
    <item>
      <title>This Thursday: March 19 - Women in AI Meetup</title>
      <dc:creator>Jimmy Guerrero</dc:creator>
      <pubDate>Tue, 17 Mar 2026 19:20:00 +0000</pubDate>
      <link>https://dev.to/voxel51/this-thursday-march-19-women-in-ai-meetup-217e</link>
      <guid>https://dev.to/voxel51/this-thursday-march-19-women-in-ai-meetup-217e</guid>
      <description>&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%2Felwagq9q9ttdane2zuea.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%2Felwagq9q9ttdane2zuea.png" alt=" " width="800" height="420"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Join us on March 19 at 9 AM Pacific for the Women in AI virtual event.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://voxel51.com/events/women-in-ai-meetup-march-19-2026" rel="noopener noreferrer"&gt;&lt;strong&gt;Register for the Zoom&lt;/strong&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Talks will include:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;Towards Reliable Clinical AI: Evaluating Factuality, Robustness, and Real-World Performance of Large Language Models&lt;/strong&gt; - Monica Munnangi at Northeastern University&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Language Diffusion Models&lt;/strong&gt; - Jayita Bhattacharyya at Big4 Consulting&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Neural BRDFs: Learning Compact Representations for Material Appearance&lt;/strong&gt; - Manushree Gangwar at Voxel51&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Supercharging AI agents with evaluations&lt;/strong&gt; - Priya Venkat at Intuit&lt;/li&gt;
&lt;/ul&gt;

</description>
      <category>ai</category>
      <category>computervision</category>
      <category>machinelearning</category>
      <category>datascience</category>
    </item>
    <item>
      <title>This Wednesday: March 18 - Vibe Coding Computer Vision Pipelines</title>
      <dc:creator>Jimmy Guerrero</dc:creator>
      <pubDate>Mon, 16 Mar 2026 16:32:29 +0000</pubDate>
      <link>https://dev.to/voxel51/this-wednesday-march-19-vibe-coding-computer-vision-pipelines-442i</link>
      <guid>https://dev.to/voxel51/this-wednesday-march-19-vibe-coding-computer-vision-pipelines-442i</guid>
      <description>&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%2Fa9lozmd6eg3uidtltyb3.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%2Fa9lozmd6eg3uidtltyb3.png" alt=" " width="800" height="420"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Join us on March 18 at 9 AM Pacific for the Vibe Coding Production-Ready Computer Vision Pipelines Hands-on Workshop! &lt;/p&gt;

&lt;p&gt;&lt;a href="https://voxel51.com/events/vibe-coding-production-ready-computer-vision-pipelines-hands-on-workshop-march-18-2026" rel="noopener noreferrer"&gt;&lt;strong&gt;Register for the Zoom&lt;/strong&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;In this interactive workshop where we'll build production-ready computer vision pipelines using vibe coded &lt;a href="https://docs.voxel51.com/plugins/index.html" rel="noopener noreferrer"&gt;FiftyOne plugins&lt;/a&gt;. Plugins enable you to customize the open-source FiftyOne computer vision app to match your exact workflow by easily incorporating data annotation, curation, model evaluation and inference.&lt;/p&gt;

&lt;p&gt;We'll demonstrate how &lt;a href="https://github.com/voxel51/fiftyone-skills" rel="noopener noreferrer"&gt;FiftyOne Skills&lt;/a&gt; and the &lt;a href="https://github.com/voxel51/fiftyone-mcp-server" rel="noopener noreferrer"&gt;MCP Server&lt;/a&gt; can streamline the journey from prototype to production-ready pipelines, keeping your development flow intact.&lt;/p&gt;

&lt;p&gt;Perfect for open-source contributors, researchers, and enterprise teams seeking hands-on experience. All participants receive slides, notebooks, and access to GitHub repositories and videos from the workshop.&lt;/p&gt;

</description>
      <category>ai</category>
      <category>computervision</category>
      <category>machinelearning</category>
      <category>agents</category>
    </item>
    <item>
      <title>Tomorrow: March 12 - MCP, Agents and Skills Meetup</title>
      <dc:creator>Jimmy Guerrero</dc:creator>
      <pubDate>Wed, 11 Mar 2026 19:30:41 +0000</pubDate>
      <link>https://dev.to/voxel51/tomorrow-march-12-mcp-agents-and-skills-meetup-1nhh</link>
      <guid>https://dev.to/voxel51/tomorrow-march-12-mcp-agents-and-skills-meetup-1nhh</guid>
      <description>&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%2Fq8tstptsua4yhyepljrt.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%2Fq8tstptsua4yhyepljrt.png" alt=" " width="800" height="420"&gt;&lt;/a&gt;&lt;br&gt;
Join us tomorrow on March 12 at 9 AM Pacific for a special edition of the AI, ML and Computer Vision Meetup where we will focus on Agents, MCP and Skills!&lt;/p&gt;

&lt;p&gt;&lt;a href="https://voxel51.com/events/mcp-and-skills-meetup-march-12-2026" rel="noopener noreferrer"&gt;&lt;strong&gt;Register for the Zoom&lt;/strong&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Talks will include:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;Agents Building Agents on the Hugging Face Hub&lt;/strong&gt; - Ben Burtenshaw at Hugging Face&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Claude Code Templates&lt;/strong&gt; - Daniel Ávila Arias at Hedginner&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Move Faster in Computer Vision by Teaching Agents to See Your Data&lt;/strong&gt; - Adonai Vera at Voxel51&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Skills As Documentation&lt;/strong&gt; - Chris Alexiuk at NVIDIA&lt;/li&gt;
&lt;/ul&gt;

</description>
      <category>ai</category>
      <category>computervision</category>
      <category>machinelearning</category>
      <category>datascience</category>
    </item>
    <item>
      <title>Tomorrow: March 11 - Validating World Models and Action-Conditioned Video Workshop</title>
      <dc:creator>Jimmy Guerrero</dc:creator>
      <pubDate>Tue, 10 Mar 2026 16:02:36 +0000</pubDate>
      <link>https://dev.to/voxel51/tomorrow-march-11-validating-world-models-and-action-conditioned-video-workshop-39bo</link>
      <guid>https://dev.to/voxel51/tomorrow-march-11-validating-world-models-and-action-conditioned-video-workshop-39bo</guid>
      <description>&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%2F1fyplyazxul0l1xkmmot.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%2F1fyplyazxul0l1xkmmot.png" alt=" " width="800" height="420"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Join us on March 11 at 10 AM Pacific for the “Debugging the Future: Strategies for Validating World Models and Action-Conditioned Video” workshop.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://voxel51.com/events/debugging-the-future-strategies-for-validating-world-models-and-action-conditioned-video-march" rel="noopener noreferrer"&gt;Register for the Zoom&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Topics explored:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Validation paradox: How do you evaluate a model that generates predictions of what should happen rather than classifying what did happen?&lt;/li&gt;
&lt;li&gt;Data curation at scale: Managing petabyte-scale video datasets while capturing rare edge cases (the "long tail" of unusual events) without prohibitive storage costs&lt;/li&gt;
&lt;li&gt;Temporal consistency: Ensuring coherent physics and causality across video sequences when training data is fragmented across multiple storage systems&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Solutions explored:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Feedback loops connecting generative model outputs back to real-world physical validation&lt;/li&gt;
&lt;li&gt;Federated data strategies for managing distributed video datasets&lt;/li&gt;
&lt;li&gt;Collaborative evaluation frameworks for assessing model quality&lt;/li&gt;
&lt;li&gt;Techniques to transform video from raw storage into structured, queryable data assets&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;See you online!&lt;/p&gt;

</description>
      <category>ai</category>
      <category>computervision</category>
      <category>machinelearning</category>
      <category>datascience</category>
    </item>
    <item>
      <title>March 19 - Women in AI Meetup</title>
      <dc:creator>Jimmy Guerrero</dc:creator>
      <pubDate>Fri, 06 Mar 2026 18:08:44 +0000</pubDate>
      <link>https://dev.to/voxel51/march-19-women-in-ai-meetup-1bd7</link>
      <guid>https://dev.to/voxel51/march-19-women-in-ai-meetup-1bd7</guid>
      <description>&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%2F7526ag59axve82gmagyd.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%2F7526ag59axve82gmagyd.png" alt=" " width="800" height="420"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Hear talks from experts on cutting-edge topics in AI, ML, and computer vision at the Women in AI virtual event on March 19. &lt;/p&gt;

&lt;p&gt;&lt;a href="https://voxel51.com/events/women-in-ai-meetup-march-19-2026" rel="noopener noreferrer"&gt;&lt;strong&gt;Register for the Zoom.&lt;/strong&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Talks will include:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;Towards Reliable Clinical AI: Evaluating Factuality, Robustness, and Real-World Performance of Large Language Models&lt;/strong&gt; - Monica Munnangi at Northeastern University&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Language Diffusion Models&lt;/strong&gt; - Jayita Bhattacharyya at Big4 Consulting&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Neural BRDFs: Learning Compact Representations for Material Appearance&lt;/strong&gt; - Manushree Gangwar at Voxel51&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Supercharging AI agents with evaluations&lt;/strong&gt; - Priya Venkat at Intuit&lt;/li&gt;
&lt;/ul&gt;

</description>
      <category>ai</category>
      <category>computervision</category>
      <category>machinelearning</category>
      <category>agents</category>
    </item>
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