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10 stories

GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models

Microsoft ResearchResearchGigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models What if pathology foundation models could do more with less? GigaPath-Flash and GigaTIME-Flash cut computational demands while maintaining strong performance, opening the door to larger studies and broader exploration.

Broadening access to Skala creates a faster path to predictive DFT

Microsoft ResearchResearchBroadening access to Skala creates a faster path to predictive DFT Skala 1.1, the updated deep-learning exchange-correlation functional from Microsoft Research, provides greater accuracy, expanded accessibility across the computational chemistry ecosystem, and a living benchmark to trac

MindTopo reveals VLMs’ spatial reasoning abilities

Microsoft ResearchResearchMindTopo reveals VLMs’ spatial reasoning abilities A path, a fence, a knot. MindTopo sets a new benchmark for testing how AI understands topological relationships and highlights new opportunities to strengthen spatial reasoning and planning.

Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement

Microsoft ResearchResearchIntroducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Radiology AI is evolving beyond report generation. CARE-X explores a unified approach that combines flexible reasoning, calibrated predictions, and measurement-based tools for chest X-ray interpretation.

Orchard: An open framework for scalable agentic AI

Microsoft ResearchResearchOrchard: An open framework for scalable agentic AI Orchard is an open-source framework for the research community to train and evaluate AI agents across task types. It reduces complexity while supporting strong performance from smaller models by enabling researchers to r

Echoverse: Deep, evolving environments for computer-use agents

Microsoft ResearchResearchEchoverse: Deep, evolving environments for computer-use agents Computer-use AI agents struggle with multi-step workflows like email and customer support. Echoverse trains agents in realistic environments rather than simply providing more training tasks, helping them improve as the t

EvoLib: Turning experience into evolving knowledge

Microsoft ResearchResearchEvoLib: Turning experience into evolving knowledge LLMs do not get smarter just by remembering more. EvoLib turns experience into evolving knowledge, taking reusable skills and insights that help models learn and adapt across tasks long after deployment.

Verifying Rust cryptography in SymCrypt, from standards to code

Microsoft ResearchResearchVerifying Rust cryptography in SymCrypt, from standards to code Cryptographic code supports vital protections in modern computing systems. Learn how a new method helps verify code as developers write it while preserving speed and adaptability as it gets implemented and evolves.

Aurora 1.5: Extending open foundation models for weather and Earth-system applications

Microsoft ResearchResearchAurora 1.5: Extending open foundation models for weather and Earth-system applications Aurora 1.5 adds 22 more variables, hourly temporal resolution, and probabilistic ensemble forecasting to the Aurora foundation model, making it more useful for real-world weather, climate, and energy applications.

Flint: A visualization language for the AI era

Microsoft ResearchResearchFlint: A visualization language for the AI era Short chart specifications are easy to write, but often produce uninspiring results. Flint is an open-source visualization language that offers a middle path, letting AI agents create expressive charts from compact, huma

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Accept All is a magazine, a radar and a diary about artificial intelligence and the craft of code — read from Tokyo, for people who build.

The name is the button. Code is written by agents now and reviewed by a human thumb that hovers over Accept all a hundred times a day; the whole question of this decade is what, exactly, you just accepted. So we read the diff. A magazine, because every week one model, one tool or one idea is worth reading about slowly. A radar, because we count what the labs, the Valley, GitHub and the chip makers are talking about — releases, agents, open weights, compute, funding, rules — and show it as it moves. A diary, because a seal is set each day in that day's colour, and the days add up.

We read the research labs' own posts, the American and European tech press, the Japanese and Chinese developer sites and the newsletters people actually forward, and bring it together in English and Japanese. Everything here links back to the people who wrote it; the images belong to their authors.

Accept All will keep changing. New sources, new signals, new ways of looking — a little better each week, never finished. If something here made you open a terminal, that is enough.

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