Microsoft Research

Next-generation physicians Morgan Cheatham and Daniel Chen discuss how generative AI is transforming medical education, exploring how students and attending physicians integrate new tools while navigating questions on trust, training, and responsibility. The post Navigating medical education in the era of generative AI appeared first on Microsoft Research.

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. The post Xinxing Xu bridges AI research and real-world impact at Microsoft Research Asia – Singapore appeared first on Microsoft Research.

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. The post Technical approach for classifying human-AI interactions at scale appeared first on Microsoft Research.

In the series finale, Amanda Craig Deckard returns to examine what Microsoft has learned about testing as a governance tool. She also explores the roles of rigor, standardization, and interpretability in testing and what’s next for Microsoft’s AI governance work. The post AI Testing and Evaluation: Reflections appeared first on Microsoft Research.

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. This approach helps move AI toward more user-centric and trustworthy systems. The post CollabLLM: Teaching LLMs to collaborate with users appeared first on Microsoft Research.

Drawing on his previous work as the UK’s cybersecurity chief, Professor 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. The post AI Testing and Evaluation: Learnings from cybersecurity appeared first on Microsoft Research.

Daphne Koller, Noubar Afeyan, and Dr. Eric Topol, leaders in AI-driven medicine, discuss how AI is changing biomedical research and discovery, from accelerating drug target identification and biotech R&D to helping pursue the “holy grail” of a virtual cell. The post How AI will accelerate biomedical research and discovery appeared first on Microsoft Research.

Professors Daniel Carpenter and Timo Minssen explore evolving pharma and medical device regulation, including the role of clinical trials, while Microsoft applied scientist Chad Atalla shares where AI governance stakeholders might find inspiration in the fields. The post AI Testing and Evaluation: Learnings from pharmaceuticals and medical devices appeared first on Microsoft Research.

Bioethics and law expert R. Alta Charo explores the value of regulating technologies at the application level and the role of coordinated oversight in genome editing, while Microsoft GM Daniel Kluttz reflects on Charo’s points, drawing parallels to AI governance. The post AI Testing and Evaluation: Learnings from genome editing appeared first on Microsoft Research.

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. The post PadChest-GR: A bilingual grounded radiology reporting benchmark for chest X-rays appeared first on Microsoft Research.