Microsoft Research
@msftresearch.bsky.social
📤 4881
📥 11
📝 325
We advance science and technology to benefit humanity.
http://microsoft.com/research
Equipping communities to influence AI through involvement in AI development pipelines can improve AI and help communities realize the potential AI has to serve them well.
news.microsoft.com/source/featu...
about 18 hours ago
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New in Research Focus: Cloud efficiency, smarter agentic cost reduction, a randomized trial on 3D telemedicine, and an open call for inclusive AI language projects in Africa.
msft.it/6010vTpuG
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2 days ago
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New tools, models, repos, and papers out of Microsoft Research are here. Use AI and agents? It's worth watching: • MagenticLite from MSR AI Frontiers • Agentic GitHub workflows • Verification‑first agents • Meaning‑matching fine‑tuning • AI transition + the economy Watch:
msft.it/6041vRsTB
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5 days ago
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Introducing GridSFM, a small foundation model that can predict AC optimal power flow in milliseconds, boosting efficiency and unlocking cost savings. Learn how GridSFM gives grid operators direct visibility into congestion, stability, and system health:
msft.it/6018vucjs
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7 days ago
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MatterSim is expanding what AI can do for materials science—from faster large-scale simulations to MatterSim-MT, a new multi-task model for simulating properties beyond potential energy surfaces alone.
msft.it/6017vPamT
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8 days ago
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Using SocialReasoning Bench, we observed a stable pattern across models—agents execute competently, but fail to consistently improve the user’s position, even with explicit instructions to optimize for user interest.
msft.it/6011vPOLF
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9 days ago
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Tyger moves the most demanding MRI processing to the cloud, helping researchers turn raw signals into readable images – meaning results in hours rather than days or weeks.
msft.it/6010vMCSa
13 days ago
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Designing AI isn’t just about performance. It’s about tradeoffs that affect people and the planet. In “The Shape of Things to Come,” hear Doug Burger, Amy Luers, and Ishai Menache on why applying AI responsibly may be key to addressing the climate crisis.
msft.it/6017vMPyt
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14 days ago
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Microsoft researchers share advances in building and operating large-scale distributed systems, spanning datacenters, networking, and the growing intersection with AI during NSDI ’26. Explore the work:
msft.it/6011vz9EF
15 days ago
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Research Focus: AI agents leaking enterprise data, a smarter OS for cloud deployment, and new research on how to actually structure AI use at work.
msft.it/6016vKxQm
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16 days ago
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Safe agents don’t guarantee a safe ecosystem of interconnected agents. Microsoft Research examines what breaks when AI agents interact and why network-level risks require new approaches. Learn more:
www.microsoft.com/en-us/resear...
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20 days ago
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Coming May 14 at Microsoft Research Forum: a new release and demo from MSR AI Frontiers. Plus new work on Agentic GitHub Workflows, Real-time agent verification, Energy-based fine-tuning, and Guiding the AI transition. Register now:
www.microsoft.com/en-us/resear...
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23 days ago
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Congratulations to Philippe Laban, Jennifer Neville, and collaborators on their Best Paper Award at ICLR 2026 for “LLMs Get Lost In Multi-Turn Conversation.”
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27 days ago
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AutoAdapt automates the design and tuning of domain adaptation workflows for large language models. It improves performance without requiring additional compute, making deployment more accessible:
msft.it/6013vDkpX
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28 days ago
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reposted by
Microsoft Research
Jan Hermann
28 days ago
Today we're sharing a major Skala update—new paper and model release. Skala is a deep-learning exchange-correlation functional for DFT that reaches 2.8 kcal/mol on GMTKN55, wins 32 of its 55 subsets, and leads on accuracy short of double hybrids at semi-local DFT cost
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LLMs that get lost in conversation. Robots that learn zero-shot. Diffusion models built for imbalanced data. This is the ICLR edition of Research Focus.
msft.it/6017vB2nT
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30 days ago
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A new perspective from Microsoft Research published in Cell makes the case that generative models are what oncology needs next, capable of integrating genomics, imaging, clinical data, and more into a unified system for cancer discovery.
msft.it/6013QhkUS
about 1 month ago
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We are thrilled to share Microsoft has been awarded the 2026 Franz Edelman Award by INFORMS for using ML, optimization, and generative AI to orchestrate cloud fulfillment decisions at global scale.
msft.it/6017QC6kP
about 1 month ago
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Congratulations to Dr. Jacki O’Neill on receiving the 2026 ACM SIGCHI Societal Impact Award! As founding director of Microsoft Research Africa, Kenya, she advances human-centered, equitable AI designed to serve communities across Africa and beyond.
msft.it/6013Q7u0x
about 1 month ago
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Microsoft Research is at
#CHI2026
(
@chi.acm.org
) this week. The question driving our work this year isn't about AI technical capabilities. It's whether it works well for everyone.
msft.it/6015Q7PtJ
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about 1 month ago
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Newly published in Optica from Microsoft Research: a first-of-its-kind materials-screening framework for glass-based data storage, identifying which intrinsic material properties actually drive performance in femtosecond laser writing.
msft.it/6014QfbFo
about 1 month ago
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On the Microsoft Research Podcast, Chief Scientist Jaime Teevan & researchers Jenna Butler, Jake Hofman, & Rebecca Janssen unpack the New Future of Work Report 2025 & explore what an ideal AI-driven working world looks like (it’s not just doing more).
msft.it/6016Q4U92
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about 1 month ago
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Today, we welcome the 2026 Microsoft Research Fellowship cohort, an inspiring global community of fellows and advisors helping to shape what’s next across science, technology, and society. Join us in celebrating this year’s recipients:
msft.it/6013Q45bX
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about 1 month ago
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For people who speak the world’s most popular languages, AI is helping improve their health care, education and more. But what about the millions who speak less common languages? Microsoft researchers and data scientists are working to close the gap.
msft.it/6012QNPVw
about 1 month ago
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In the latest Research Focus: LLM sentiment in cultural context, robot assembly learning, smarter AI agents, verified Rust code, and CHI 2026.
msft.it/6016Q2k8K
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about 1 month ago
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ADeLe profiles AI models across a set of core abilities and compares them to task requirements. Published in Nature, this framework enables accurate prediction of model performance on tasks they have not encountered before:
msft.it/6015QLEuN
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about 2 months ago
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Deploying AI across cultures is more than translation. Atlas is an interactive playbook that can help with cross-cultural deployment of AI applications.
msft.it/6015QINXc
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about 2 months ago
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Multilingual AI means making hard tradeoffs. Translate or fine-tune? One model or many? Vibhasha is an interactive playbook to help you build multicultural apps and make those decisions with confidence.
msft.it/6016QI3gu
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about 2 months ago
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Not every language has the AI infrastructure others do. Paza is an interactive playbook to help you build robust speech models for low-resource languages with benchmarking tools to help you choose the right approach.
microsoft.github.io/Paza/
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about 2 months ago
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AI should work for everyone, wherever they are, and whatever language they speak. Introducing three interactive playbooks by Microsoft Research. These guides are for organizations building AI across languages, cultures, and markets. Meet Paza, Vibhasha, and Atlas.
msft.it/6014QxJnm
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about 2 months ago
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AsgardBench evaluates whether embodied agents can revise their plans based on visual observations as tasks unfold. By focusing on perception-driven planning, it exposes key limitations and guides improvements in agent reliability.
msft.it/6015QQ4fZ
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about 2 months ago
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GroundedPlanBench evaluates whether VLMs can plan actions and determine where they should occur. V2GP can improve both planning and spatial grounding, leading to more reliable robot behavior. Learn more:
msft.it/6016QQQTg
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about 2 months ago
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Are machines truly intelligent? In Episode 1 of “The Shape of Things to Come,” technologists Subutai Ahmad & Nicolò Fusi join Microsoft’s Doug Burger to compare how large language models work with how the human brain learns & what it means for AI’s future.
msft.it/6015QsiOZ
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about 2 months ago
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MicroLED datacenter networking, LLM-driven GPU design, real-time multimodal AI, agent memory and learning from experience, plus new benchmarks for interactive planning and a new podcast about the future of machine intelligence.
msft.it/6016Qs9io
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about 2 months ago
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With advances happening fast, what will the future look like? Microsoft Research Labs lead Doug Burger explores this question via the lens of machine intelligence, climate & more in the podcast “The Shape of Things to Come.” Full episodes coming soon.
msft.it/6013QW7P5
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2 months ago
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As AI agents transition from simple chatbots to complex autonomous systems, finding and fixing their errors gets harder. AgentRx is an automated diagnostic framework that pinpoints critical failures and supports more transparent, resilient agentic systems:
msft.it/6012QlyiM
2 months ago
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With advances happening fast, what will the future look like? Microsoft research lead Doug Burger explores this question via the lens of machine intelligence, climate & more in the podcast series “The Shape of Things to Come.” Full episodes coming soon.
msft.it/6018Qcv5i
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2 months ago
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You’re no longer just doing the work—you’re directing. In our latest episode,
@sineadbovell.bsky.social
explores how the future of work is taking shape, and what it means as AI systems start to feel less like tools and more like teammates. Watch all episodes of On Second Thought:
msft.it/6015QcqMd
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2 months ago
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PlugMem transforms AI agents’ interaction histories into structured, reusable knowledge. It integrates with any agent, supports diverse tasks and memory types, and maximizes decision quality while significantly reducing memory token use:
msft.it/6017Qc9vv
2 months ago
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Multimodal reasoning with Phi-4-reasoning-vision, new work on scaling LLM inference, benchmarking AI agents in network operations, cinematic video generation, adaptive evaluation for LLMs, and using AI to improve individual and population health.
www.linkedin.com/pulse/phi-4-...
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2 months ago
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The latest Microsoft Research Forum episode is now available on-demand. Explore new ARO, Dion2, Magentic Marketplace, OptiMind, Agent Lightning, and Healthbots. Register to watch:
events.microsoft.com/flow/ms/rese...
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3 months ago
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Vision-language models improve multimodal systems, but can make them slower, costlier, and harder to deploy. Learn how Phi-4-reasoning-vision-15B, a compact and fast multimodal reasoning model, blends strengths of different methods while reducing their limits:
msft.it/6014Q5X0u
3 months ago
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CORPGEN enables AI agents to manage dozens of interdependent tasks simultaneously in simulated workplace environments. It maintains performance under heavy multitasking, delivering up to 3.5x higher completion rates than leading baselines.
msft.it/6015QbHoH
3 months ago
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Long-term glass data storage advances, new work on transferable reasoning, multi-turn AI safety testing, multilingual AI design, and evaluating how models actually think.
msft.it/6015QksvJ
3 months ago
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As synthetic media grows, verifying what’s real, and the origin of content, matters more than ever. Our latest report explores media integrity and authentication methods, their limits, and practical paths toward trustworthy provenance across images, audio, and video.
msft.it/6012QnGgi
3 months ago
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Project Silica introduces new techniques for encoding data in borosilicate glass, as described in the journal Nature. These advances lower media cost and simplify writing and reading systems while supporting 10,000-year data preservation:
msft.it/6017QVklt
3 months ago
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Coming March 3 at 9:00 AM PT, our first Microsoft Research Forum episode of the year. New ARO, Dion2, Magentic Marketplace, OptiMind, Agent Lightning, and Healthbots. Register to watch:
www.microsoft.com/en-us/resear...
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3 months ago
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We are pleased to announce that Doug Burger, Technical Fellow and Corporate Vice President at Microsoft Research, has been elected to the National Academy of Engineering Class of 2026 for advancing cloud-scale computing and networking with field-programmable systems.
msft.it/6011Quo5H
3 months ago
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Speech recognition for low-resource languages, medical foundation models, space-based ML, and brain-computer interfaces:
msft.it/6016QPDpp
3 months ago
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This research looks at why Predictive Inverse Dynamics Models often outperform standard Behavior Cloning in imitation learning. By using simple predictions of what happens next, PIDMs reduce ambiguity and learn from far fewer demonstrations. Learn more:
msft.it/6018QMkdO
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3 months ago
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