We advance science and technology to benefit humanity.

Joined February 2009
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security: msft.it/6016atJb6
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Weather forecasts are unreliable past two weeks, leaving a crucial gap for farmers and others. Probabilistic Bias Correction improves extended forecasting, taking top honors in a global competition and showing promise for real-world use: msft.it/6013aseY9 IMAGE CREDIT: Cooperative Institute for Research in the Atmosphere at Colorado State University and the National Oceanic and Atmospheric Administration (CSU/CIRA & NOAA)
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AI does better when it acknowledges it needs clarification; Improving robot performance on vision-language tasks; How we learn from AI’s failures; Improving AI tutoring; Understanding our sense of smell; More efficient KV-cache memory storage msft.it/6019aSVIP
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StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics: msft.it/6013aS3JF
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The most important AI failures may not be the obvious ones. Microsoft Partner Research Manager Jennifer Neville explains to host Chad Atalla why “surprising failures” can reveal where human expectations about intelligence diverge from how AI systems actually work. msft.it/6017aU8r7
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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.: msft.it/6019aokV1
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Progress can be a winding road. Jennifer Neville discusses spinning her research wheels, taking a multiturn path to computer science, and pushing today’s AI systems with more practical evaluations. Catch the latest Microsoft Research Podcast episode.: msft.it/6183aW0lD
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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: msft.it/6019aYXwh
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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 and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. msft.it/6014acaRn
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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: msft.it/6019acwE5
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Securing data when trusted hardware is compromised; monitoring underwater recordings to protect endangered whales; Living Library enables conversations with historical figures; AI builders should listen to the young people who will ultimately use it. msft.it/6013acHnt
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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. msft.it/6014agepg
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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.: msft.it/6012a5Ogy
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A look at how coding agents behave at scale; evaluating AI models that find lymphoma lesions in PET/CT scans; understanding AI chatbot dependence; and advancing large-scale decision-making systems. Dive into the latest issue of Research Focus.: msft.it/6016abyrY
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How is AI reshaping the way we work? Join researchers, builders, and practitioners at The New Future of Work Summit on Sept. 14 for practical workshops, live demos, and research-backed insights on AI and agents. Free and open to all. Register: msft.it/6013akn9U
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Microsoft Research retweeted
4B parameters. ZERO distillation. 61.5% on SWE-bench Verified 🤯 Meet FrogNano 🐸: Qwen3.5-4B post-trained purely with RL on synthetic tasks from TaskPilot. Just 5 iterations × 300 tasks. Who said coding agents have to be huge? 🐸
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Curious about what a future in research could look like? The Microsoft Research Undergrad Internship Program offers hands-on research experience, mentorship, and a chance to explore advanced study. Rising juniors and seniors can apply for 12-week internships in Redmond, NYC, or New England. Apply by October 5: msft.it/6014aXVWM
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Where can curiosity take a research career? Undergraduate research intern Matheus Kunzler Maldaner explores agentic systems and finds more than he expected in this first episode of our series, Research | Start Here: Inside the Internship. See where research can start ▶️
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We're thrilled to celebrate two Microsoft Research papers recognized at VLDB 2026. Congratulations to the researchers. msft.it/6012aTYVm
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Best Paper Award: Garnet: A Next-Generation Cache-Store for Accelerating Applications and Services Garnet reimagines the cache-store layer that powers modern applications and cloud services, helping deliver orders-of-magnitude higher performance and efficiency at scale without requiring any application changes. The Garnet system is also available for use as open-source software. msft.it/6013aTYVW
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Honorable Mention: Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization Analytical databases support hundreds of scalar functions that often become query bottlenecks. This work introduces a compiler-based approach that translates production database scalar functions into efficient GPU kernels while preserving their original semantics, enabling substantial performance gains for analytical workloads. msft.it/6014aTYVo
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