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AI Features

When AI Meets Biology: Promise, Risk, and Responsibility

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Advances in AI are opening extraordinary frontiers in biology. AI-assisted protein engineering holds the promise of new medicines, materials, and breakthroughs in scientific understandings....

Ideas: More AI-resilient biosecurity with the Paraphrase Project

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Now, let’s rewind two years. Almost to the day, Bruce and I uncovered a vulnerability. While preparing a case study for a workshop on AI and biosecurity,...

Using AI to assist in rare disease diagnosis

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In the promising and rapidly evolving field of genetic analysis, the ability to accurately interpret whole genome sequencing data...

Tool-space interference in the MCP era: Designing for agent compatibility at scale

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This year we’ve seen remarkable advances in agentic AI, including systems that conduct deep research, operate computers, complete substantial software engineering tasks, and tackle a range...

RenderFormer: How neural networks are reshaping 3D rendering

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3D rendering—the process of converting three-dimensional models into two-dimensional images—is a foundational technology in computer graphics, widely used across...

Breaking the networking wall in AI infrastructure  – Microsoft Research

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Memory and network bottlenecks are increasingly limiting AI system performance by reducing GPU utilization and overall efficiency, ultimately preventing infrastructure from reaching its...

Crescent library brings privacy to digital identity systems

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Digital identities, the electronic credentials embedded in phone wallets, workplace logins, and other apps, are becoming ubiquitous. While they...

Applicability vs. job displacement: further notes on our recent research on AI and occupations

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Recently, we released a paper (Working with AI: Measuring the Occupational Implications of Generative AI) that studied what occupations might find AI chatbots useful,...
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