AI is impacting healthcare—from medical training to drug discovery. Learn how things are changing from those using, studying, and developing healthcare AI in “The AI Revolution in Medicine, Revisited” with host @peteratmsr.bsky.social. All episodes available now: www.microsoft.com/en-us/resear...

The Microsoft Research Undergraduate Internship Program offers 12-week internships in our Redmond, NYC, or New England labs for rising juniors and seniors who are passionate about technology. Apply by October 6: msft.it/6015scgSJ

As agentic AI ushers in a new era marked by tool expansion, systems are converging, and complexity is rising. Microsoft Research explores the Model Context Protocol (MCP) as a new standard for agent collaboration across fragmented tool ecosystems. msft.it/6014scgGq

Join us on September 24 at 8 AM PT for season 2 of the Microsoft Research Forum, where we’ll explore how purposeful research is driving advancements across biology, hardware and AI. Explore the agenda and register: www.microsoft.com/en-us/resear...

RenderFormer, from Microsoft Research, is the first model to show that a neural network can learn a complete graphics rendering pipeline. It’s designed to support full-featured 3D rendering using only machine learning—no traditional graphics computation required. Learn more: msft.it/6012s9mu8

Datacenter memory and network limits are restraining AI system performance. MOSAIC uses microLEDs and a wide-and-slow optical architecture to deliver faster, longer, more reliable, and energy efficient connections that could transform AI cluster designs: msft.it/6017siEVN

Microsoft brings new network innovation to #SIGCOMM2025 in areas like optical interconnects and cellular infrastructure. Discover accepted papers, view open roles, and connect with us in Coimbra: msft.it/6011s9sd5

We’re thrilled to share that Tian Xie, Principal Research Manager at Microsoft Research AI for Science, has been named to MIT Technology Review’s 2025 Innovators Under 35! Tian recently led the development of MatterGen, our generative AI model for materials discovery. msft.it/6010s9dse

Newly published in PNAS, Microsoft Research introduces the Sui Generis score, a method to measure narrative diversity in LLM outputs. The study reveals how AI storytelling often echoes plot elements creating repetitive, less unique, narratives. msft.it/6015s5Kdl

What has AI’s impact been out in the healthcare wild? In “The AI Revolution in Medicine, Revisited” finale, Peter Lee, Carey Goldberg, and Dr. Zak Kohane explore guests’ experiences with the tech in med school, drug discovery, and beyond and look ahead. msft.it/6014snCS6

Crescent helps make digital IDs private by preventing tracking across uses while letting users only disclose what’s necessary from their credentials: msft.it/6011snCgJ

Each Microsoft Academic Research Exchange session highlights real-world research applications, interdisciplinary collaboration, and emerging methodologies. Register here for the upcoming webinar: msft.it/6019sn7oP

For the finale of “The AI Revolution in Medicine, Revisited,” Peter Lee, Carey Goldberg, and Dr. Zak Kohane compare their predictions to insights from the series’ most recent guests, including leaders in AI-driven medicine and doctors in training. msft.it/6018snnki

MindJourney can enable AI to navigate and interpret 3D environments from limited visual input, potentially improving performance in navigation, planning, and safety-critical tasks: msft.it/6019spq8P

In Ep. 10 of “The AI Revolution in Medicine, Revisited,” former Washington State Secretary of Health Dr. Umair Shah & Mayo Clinic CEO Dr. Gianrico Farrugia share their optimism for how AI can improve public health, healthcare delivery, & medical research. msft.it/6018sRd0p

What can domains like cybersecurity and pharma teach us about governing AI and the role of evaluation and testing? Find out in the “AI Testing and Evaluation” podcast and in a new white paper distilling insights from eight expert case studies. msft.it/6013suIdN

RetroChimera, now available on Azure AI Foundry, marks a new milestone for predicting synthesis routes to drug-like molecules, opening new possibilities for AI in drug discovery. Learn more: msft.it/6011sutzJ

Dion is a new AI model optimization method that boosts scalability and performance over existing leading methods by orthonormalizing only a top rank subset of singular vectors, enabling more efficient training of large models such as LLaMA-3 with reduced overhead: msft.it/6018suLDa

At Microsoft Research, best-in-class resources are paired with autonomy in order to drive bold ideas into solutions used globally. It’s a workplace where collaboration, curiosity, and innovation drive every breakthrough. Explore a career at MSR: msft.it/6014sOOR6

Former Washington State Secretary of Health Dr. Umair Shah & Mayo Clinic CEO Dr. Gianrico Farrugia talk AI’s impact on public health & healthcare delivery—from emergency response to patient outcomes—in Ep. 10 of “The AI Revolution in Medicine, Revisited.” msft.it/6016s3tgG

Microsoft is pioneering a vision for a self-adapting AI system that can adapt to the dynamic nature of scientific discovery, promoting deeper, more refined reasoning in complex scientific domains. msft.it/6013s3DqL

VeriTrail, new from Microsoft Research, can detect AI-generated content that is not supported by the source text, trace the provenance of content from final output back to the source, and locate where errors were likely introduced. Learn more: msft.it/6012sMc3m

Designed to classify software without context, Project Ire replicates the gold standard in malware analysis through reverse engineering. It streamlines a complex, expert-driven process, making large-scale malware detection faster & more consistent: msft.it/6015s1tTN

Medical education needs to evolve to meet the AI moment. In Ep. 9 of "The AI Revolution in Medicine, Revisited," Dr. Morgan Cheatham & Daniel Chen explore how clinicians in training use AI while navigating questions of responsibility & the future of care. msft.it/6010sJY94

In Episode 9 of "The AI Revolution in Medicine, Revisited," resident physician and venture capitalist Morgan Cheatham and med student Daniel Chen explore generative AI's impact on medical training, from classroom learning to clinical practice. msft.it/6011s1Qrd

Xinxing Xu is helping shape the work of Microsoft Research Asia – Singapore by turning advanced AI research into real-world solutions. Learn how he collaborates across sectors and disciplines to drive responsible innovation throughout Southeast Asia: msft.it/6016sEN2O

So pleased to launch @MSFTResearch Asia – Singapore today. This takes our longstanding collaborations to the next level and gives new opportunities to advance AI to benefit humanity. We're grateful for the engagement of so many great people and orgs here. news.microsoft.com/source/asia/...

Semantic Telemetry helps LLMs run efficiently, reliably, and in near real-time. Learn about the engineering behind that system, including the trade-offs and lessons learned along the way—from batching strategies to token optimization and orchestration. msft.it/6011sEfI7

Researchers in the Crick’s Visual Biochemistry Lab are teaming up with Microsoft Research AI for Science to combine cutting-edge lab experiments with AI to better understand and predict how proteins move and interact. @franknoe.bsky.social www.crick.ac.uk/news/2025-07...

In the “AI Testing & Evaluation” finale, Amanda Craig Deckard explores what Microsoft has learned about testing as a governance tool; the roles of rigor, standardization, & interpretability in testing; & what’s next for Microsoft’s AI governance work. msft.it/6017sDY5Z

Can AI help people stay healthier as they age by helping to predict disease? @peteratmsr.bsky.social and Dr. Eric Topol explore this and other topics in Episode 8 of “The AI Revolution in Medicine, Revisited.” msft.it/6019s6arx

Recipient of an ICML 2025 Outstanding Paper Award, CollabLLM improves how LLMs collaborate with users, including knowing when to ask questions and how to adapt tone and communication style to different situations.

In “AI Testing and Evaluation,” former UK cybersecurity chief Ciaran Martin explores differentiated standards and public-private partnerships in cybersecurity, and Microsoft’s Tori Westerhoff examines the insights through an AI red-teaming lens. msft.it/6010Shb5Q

Daphne Koller, Noubar Afeyan, & Dr. Eric Topol, leaders in AI-driven medicine, explore how AI is reshaping how we diagnose and treat disease—from early-stage drug discovery to clinical care—in Episode 8 of “The AI Revolution in Medicine, Revisited.” msft.it/6019S7p9t

Today in the journal Science: BioEmu from Microsoft Research AI for Science. This generative deep learning method emulates protein equilibrium ensembles – key for understanding protein function at scale. www.science.org/doi/10.1126/...

Congratulations to Hayley LeBlanc,  Jay Lorch,  Chris Hawblitzel,  Cheng Huang and co-authors of “Power Never Corrupts: Tool-Agnostic Verification of Crash Consistency and Corruption Detection” for winning the Distinguished Artifact Award at #OSDI2025!

Cement is everywhere. It’s the second most-used material on Earth after water—and one of the biggest contributors to greenhouse gas emissions. But what if we could use a natural green material to help build a more sustainable future?

In “AI Testing & Evaluation,” professors Daniel Carpenter & Timo Minssen explore pharma & medical device regulation, including the role of clinical trials, while Microsoft’s Chad Atalla shares where AI governance stakeholders might find inspiration. msft.it/6044Sfpt0

First encounters with generative AI can be memorable. In Ep. 7 of “The AI Revolution in Medicine, Revisited,” @billgates.bsky.social and Sébastien Bubeck recount their early experiences and share how they see the tech changing healthcare now and in the future. www.microsoft.com/en-us/resear...

Microsoft Research invites organizations of all sizes to join the DFT Research Early Access Program to explore the potential of our new Skala functional and accelerate innovation across industries through faster and more accurate density functional theory. msft.it/6012SFjGr

In “AI Testing & Evaluation,” Alta Charo, an expert in biotech governance, explores the evolving landscape of genome editing & its regulatory implications, while Microsoft GM Daniel Kluttz reflects on those insights in the context of AI governance. msft.it/6011SFpBW

We're taking a big step towards medical superintelligence. AI models have aced multiple choice medical exams – but real patients don’t come with ABC answer options. Now MAI-DxO can solve some of the world’s toughest open-ended cases with higher accuracy and lower costs.

The world’s first multimodal, bilingual radiology dataset could reshape the way radiologists and AI systems make sense of X-rays. PadChest-GR, developed by the University of Alicante with Microsoft Research, has the potential to advance research across the field for years to come. msft.it/6013SLDYZ

We’re just scratching the surface of AI’s potential to transform healthcare. @billgates.bsky.social and Sébastien Bubeck discuss their visions for the future and what needs to happen to get there in Ep. 7 of “The AI Revolution in Medicine, Revisited.” msft.it/6013SIGt3

A chatbot specialized in India’s public health protocols is helping workers at rural clinics get real-time help on issues like vaccine schedules, contraception, and maternal care. www.microsoft.com/en-us/resear...

In the intro episode of “AI Testing and Evaluation: Learnings from Science and Industry,” host Kathleen Sullivan and Amanda Craig Deckard discuss Microsoft’s efforts to draw on other domains’ experiences to advance AI governance policy and practices. msft.it/6016SxT3u

In Ep. 7 of “The AI Revolution in Medicine, Revisited,” @billgates.bsky.social and Sébastien Bubeck explore the state of generative AI in medicine, the potential of “medical intelligence” to empower people across healthcare, and what will come next. msft.it/6012SvJmy

Chris Bishop, Technical Fellow and Director of Microsoft Research AI for Science, explains how Microsoft researchers recently achieved a milestone in solving a grand challenge that has hampered scientists and slowed innovation for decades. Watch the video: msft.it/6043SQtoJ

Microsoft researchers achieved a breakthrough in the accuracy of DFT, a method for predicting the properties of molecules and materials, by using deep learning. This work can lead to better batteries, green fertilizers, precision drug discovery, and more. www.microsoft.com/en-us/resear...

New techniques are reimagining how LLMs reason. By combining symbolic logic, mathematical rigor, and adaptive planning, these methods enable models to tackle complex, real-world problems across a variety of fields: msft.it/6011StY3c