Microsoft Research

10 stories

Microsoft ResearchResearchLearn the rules: The hacker mindset For some, rules pose limitations. For others, like Microsoft Research Manager Mike Walker, they’re opportunities.

11.03

Microsoft ResearchResearchFrom synthetic enterprise data evaluations to real Microsoft Copilot AI confidence At a glance Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that…

10.30

Microsoft ResearchResearchMicrosoft Research Focus – Edition #97 .yt-consent-placeholder[data-video-id="k6oC-6TPAr8"] { aspect-ratio: 9 / 16; max-width: 480px; margin: 24px auto 48px auto; } What’s new in research?

10.29

Microsoft ResearchResearchFlint-interactive: A language for creating interactive data visualizations At a glance Brings rich interactivity to AI-generated charts: Flint-interactive enables agents to create data visualizations that users can explore directly through clicking, filtering, zooming…

10.22

Microsoft ResearchResearchSolving a 31-year-old grand challenge in mathematics – the KLS conjecture Microsoft researcher and collaborator combine new mathematical ideas with human-directed AI to resolve a central problem in high-dimensional geometry and probability At a glance Fundamental…

10.21

Microsoft ResearchResearchCalled to serve: Tech, research, and positive impact In the summer of 2010, postdoc Chris White worked with a multidisciplinary team at the Defense Advanced Research Projects Agency, or DARPA, to determine if a new approach to data analysis could…

10.20

Microsoft ResearchResearchProof-based general-purpose computing with Magnetar At a glance A new form of computing . Zero-knowledge proofs let you run a workload and receive, alongside the result, a short proof that the program ran correctly.

10.15

Microsoft ResearchResearchSimulating student learning for better AI tutoring At a glance StudentSim is a research system for evaluating and improving AI tutors before they are tested with real learners; it is not a product, is not deployed in classrooms, and is not intended…

10.12

Microsoft ResearchResearchAgent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses At a glance Harnessed Agentic RL: Microsoft Research Asia introduces a training paradigm in which the same agent harness used in deployment participates directly in reinforcement learning, removing…

10.07

Microsoft ResearchResearchWhat AI gets wrong and what failure teaches us Jennifer Neville is a partner research manager at Microsoft who’s built a career around understanding and advancing AI for real-world use, and much like the human-AI interactions she’s been studying…

10.06

The name is the button.

An agent writes the code now, and a human thumb hovers over Accept all a hundred times a day. The honest question of this decade is what, exactly, you just accepted. So I read the diff.

Eight years as a backend engineer in Stockholm, back in Tokyo since 2023, and I still ship something small most nights, usually badly. My one rule: the only real review of a model is the thing you built with it. That is why there is no leaderboard on this site.

Around a hundred and forty sources come through — the labs' own posts, the papers, the tools, the runtimes and languages nobody is watching yet, the chip under the demo, and the newsletters people actually forward. What is moving gets counted so the week reads at a glance, and every few days I explain one mechanism in plain words.

A story here is a headline, a short excerpt, one image and the link to whoever wrote it. We never reproduce the post; the images belong to their authors. A post written in Japanese appears in Japanese, exactly as it was published, and the link goes to the original.

— Yuki Halvorsen, Tokyo