Categories: FAANG

Democratic inputs to AI grant program: lessons learned and implementation plans

We funded 10 teams from around the world to design ideas and tools to collectively govern AI. We summarize the innovations, outline our learnings, and call for researchers and engineers to join us as we continue this work.
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Recent Posts

Modeling Device Capabilities for Analytics

by Aarti Laddha, Richard Diaz-Cool, Rishika Idnani, Venkatesh SelverajNetflix supports a vast and evolving set…

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Announcing the Agentic Catalog Experience in Amazon Quick

As organizations embrace AI-powered analytics, the value of a natural language (Text2SQL) answer is only…

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What’s new in AI infrastructure and orchestration this month

At Google, AI is a soup-to-nuts endeavor. Obviously, we make leading AI models like Gemini…

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SpaceX’s Falcon 9 Rocket Is About to Crash Into the Moon—and It Could Be Visible From Earth

The impact will kick up a plume of debris so high, it’ll likely be visible…

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The End-to-End Agentic AI Pipeline

In this article, you will learn the seven architectural components that separate a production-grade agentic…

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Dimensionality Reduction Meets Network Science: Sensemaking on UMAP’s kNN Graph

While UMAP is widely used for exploring high-dimensional data, typical workflows focus on its lower-dimensional…

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