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Since launching a year ago, the Microsoft Research Asia — Singapore lab has established a strong foundation, deepened collaboration across government, academia, and industry, and explored how frontier AI research can create real-world value. The post One year in: How Microsoft Research Asia – Singapore is advancing re…
Microsoft ResearchPublished Sep 29, 2026
Official source · Microsoft ResearchVerified Oct 9, 2026
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 track computational performance. The post Broadening access to Skala creates a faster path to predictiv…
Microsoft ResearchPublished Aug 21, 2026
Official source · Microsoft ResearchVerified Oct 9, 2026
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 reuse the same infrastructure. The post Orchard: An open framework for scalable agentic AI appeared…
Microsoft ResearchPublished Aug 4, 2026
Official source · Microsoft ResearchVerified Oct 6, 2026
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweig…
Microsoft ResearchPublished Oct 8, 2026
Official source · Microsoft ResearchVerified Oct 9, 2026
Robots are getting smarter, but how can their hardware match that growth? New Microsoft Research findings show that moving AI inference beyond the robot can improve task success, boost efficiency, and support more advanced physical AI workloads. The post Offloaded inference for real-world physical AI robotics appeared…
Microsoft ResearchPublished Sep 24, 2026
Official source · Microsoft ResearchVerified Oct 9, 2026
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. The post Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Le…
Microsoft ResearchPublished Aug 12, 2026
Official source · Microsoft ResearchVerified Oct 7, 2026
Custom-made molecules are advancing medicine, materials, and agriculture, but producing them is slow and expensive. A new Nature paper highlights RetroChimera, a predictive model that helps accelerate chemical synthesis, helping researchers explore a wide range of molecules. The post Improving synthesis prediction of…
Microsoft ResearchPublished Sep 21, 2026
Official source · Microsoft ResearchVerified Oct 9, 2026
Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows…
Microsoft ResearchPublished Sep 29, 2026
Official source · Microsoft ResearchVerified Oct 9, 2026
Extreme space-weather events can damage power systems on Earth and degrade GPS accuracy and satellite operations. A new machine learning system can predict where damage is likely to occur 30-60 minutes before a storm arrives. The post Forecasting space weather risks on power grids appeared first on Microsoft Research .
Microsoft ResearchPublished Oct 1, 2026
Official source · Microsoft ResearchVerified Oct 9, 2026
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. The post MindTopo reveals VLMs’ spatial reasoning abilities appeared first on Microsoft Research .
Microsoft ResearchPublished Aug 13, 2026
Official source · Microsoft ResearchVerified Oct 9, 2026
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches u…
Microsoft ResearchPublished Oct 7, 2026
Official source · Microsoft ResearchVerified Oct 9, 2026
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. The post GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient patholo…
Microsoft ResearchPublished Sep 1, 2026
Official source · Microsoft ResearchVerified Oct 9, 2026
Lab Director Chris White has worked on research challenges with real-world implications—from new approaches to wartime data analysis to tools for combating human trafficking. He talks to program manager Weishung Liu about the influences that led to the work and more. The post Called to serve: Tech, research, and posit…
Microsoft ResearchPublished Sep 9, 2026
Official source · Microsoft ResearchVerified Sep 9, 2026
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 tasks, tests, and environments evolve. The post Echoverse: Deep, evolving environments for computer-…
Microsoft ResearchPublished Jul 31, 2026
Official source · Microsoft ResearchVerified Sep 30, 2026
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. The post EvoLib: Turning experience into evolving knowledge appeared first on Microsoft Research .
Microsoft ResearchPublished Jul 31, 2026
Official source · Microsoft ResearchVerified Sep 29, 2026
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, human-editable specifications. The post Flint: A visualization language for the AI era appeared first o…
Microsoft ResearchPublished Jul 9, 2026
Official source · Microsoft ResearchVerified Sep 21, 2026
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. The post Aurora 1.5: Extending open foundation models for weather and Earth-system applications appeared…
Microsoft ResearchPublished Jul 10, 2026
Official source · Microsoft ResearchVerified Sep 23, 2026
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. The post Verifying Rust cryptography in SymCrypt, from standards to code appeared first on Microsoft Res…
Microsoft ResearchPublished Jul 14, 2026
Official source · Microsoft ResearchVerified Sep 29, 2026
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…
Microsoft ResearchPublished Jul 1, 2026
Official source · Microsoft ResearchVerified Aug 31, 2026