Company blogs
Engineering and data science write-ups straight from the teams at 30 companies. Each one summarised in a line or two and sorted by subject. New posts are added every morning.
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Microsoft Research created Flint-interactive, a language that lets AI agents build and manipulate interactive data visualizations through clicks, filters, and highlights.
Microsoft Research resolved the 31‑year‑old KLS conjecture, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing.
Microsoft Research highlights Chris White’s work on wartime data analysis and tools for combating human trafficking, showing real‑world impact.
Microsoft Research built Magnetar, a framework that brings zero‑knowledge proofs to general‑purpose computing with language support, speed gains, and quantum‑resistant security.
Microsoft Research built StudentSim, a simulation system that models student interactions to evaluate and improve AI tutoring tools across subjects.
Microsoft Research introduces Agent Lightning, a 3,500‑line lightweight framework that connects existing AI agents to reinforcement‑learning training, simplifying agent improvement without rebuilding.
Microsoft Research explains what AI gets wrong and what failures teach about handling complexity.
Microsoft Research built a machine‑learning system that forecasts space‑weather risks on power grids, predicting likely damage 30‑60 minutes before a storm arrives.
Microsoft Research introduced Quine, a multimodal AI system that models biology across scales to help scientists explore hypotheses before lab work.
Microsoft Research Asia – Singapore highlighted a year of building collaborations with government, academia, and industry while applying frontier AI research to real‑world problems.
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