ScarfBench: Benchmarking AI Agents for Enterprise Java Framework Migration

SkillOpt: Agent skills as trainable parameters

AI agents often fail because their instructions, or skills, are manually modified with no guarantee of improvement. Learn how SkillOpt turns skill editing into a training process, making agent behavior more reliable without changing model weights. The post SkillOpt: Agent skills as trainable parameters appeared first on Microsoft Research.

Start building with Nano Banana 2 Lite and Gemini Omni Flash

Why Specialization Is Inevitable

How ChatGPT adoption has expanded

New OpenAI Signals data shows how ChatGPT adoption is growing globally, with users increasing usage, exploring more capabilities, and driving growth across regions and languages.

Unlocking Britain’s next era of productivity: Building a nation of AI trailblazers

Google UK shares its latest Economic Impact Report and how to enable more people to unlock the benefits of AI-powered technologies.

Introducing GeneBench-Pro

Introducing GeneBench-Pro, a new benchmark testing AI performance in genomics, biology, and scientific research using complex, real-world datasets.

Core dump epidemiology: fixing an 18-year-old bug

OpenAI engineers used large-scale core dump analysis to debug rare infrastructure crashes, uncovering both a hardware fault and a long-standing software bug.

Inside Genebench-Pro

Featuring Every Eval Ever Results on Hugging Face Model Pages

Redeploying Fable 5

Redeploying Fable 5

Claude Science, an AI workbench for scientists, is now available

Claude Science, an AI workbench for scientists, is now available

Introducing Claude Sonnet 5

Introducing Claude Sonnet 5

Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity

AI agents can't remember past conversations. They must constantly reload or retrieve context, which grows less efficient as tasks get longer and more complex. Memora solves this with a scalable memory system separating what’s stored from how it's retrieved. The post Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity appeared first on Microsoft Research.

DiScoFormer: One transformer for density and score, across distributions