GABRIEL is a new open-source toolkit from OpenAI that uses GPT to turn qualitative text and images into quantitative data, helping social scientists analyze research at scale.
Manish Purohit, Research Scientist, Google Research We introduce new, provably effective algorithms for scheduling jobs without interruptions on cloud infrastructure when machine availability…
Erzhen Hu, Student Researcher, and Ruofei Du, Interactive Perception & Graphics Lead, Google XR DialogLab is a research prototype that provides a unified interface to configure conversational scenes,…
Lauren Harrell, Data Scientist, Google Research We describe how Perch 2.0, Google DeepMind's bioacoustics foundation model, trained on birds and other terrestrial animal vocalizations, transfers…
tl;dr: We built an agent skill that teaches coding agents how to write production CUDA kernels. Then we pointed Claude and Codex at two real targets: a diffusers pipeline and a transformers model.
AI agents often perform impressively in controlled research settings, yet struggle when deployed in real-world systems where they must reason across multiple steps, interact with real tools and APIs,…
We're excited to announce that Transformers.js v4 is now available on NPM! After a year of development (we started in March 2025 🤯), we're finally ready for you to use it.
AI RL 2026-02-14 Forge: Scalable Agent RL Framework and Algorithm Scaling reinforcement learning for real-world agents runs into a three-way conflict: system throughput, training stability, and agent…
Cursor can now work autonomously over longer horizons to complete larger, more complex tasks. Long-running agents plan first and finish more difficult work without human intervention.
Summary Dedicated Container Inference lets teams deploy custom generative media models — like video generation, avatar synthesis, and image processing — with production-grade orchestration they don't…