Microsoft Research Introducing Muse: Our first generative AI model designed for gameplay ideation Learn more Featured Podcasts Feb 19 Ideas: Quantum computing redefined with Chetan Nayak Publication Video Featured Blogs Feb 12 Microsoft Research and Physics Wallah team up to enhance AI-based tutoring Download Publication Featured Articles Feb 12 Microsoft Research India: Celebrating 20 years of innovation Featured Blogs Feb 11 ExACT: Improving AI agents’ decision-making via test-time compute scaling Publication Articles Feb 25 Panel Discussion: AI for Precision Health: Learning the language of nature and patients Articles Feb 25 Keynote: Multimodal generative AI for precision health Video Blogs Feb 25 Magma: A foundation model for multimodal AI agents across digital and physical worlds Publication Publications Feb 20 Leveraging public data: Changes in local economic distress and drug overdose deaths at the county level, 2000 – 2019 Blogs Feb 20 Exploring the structural changes driving protein function with BioEmu-1 Publication Publications May 3 Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning Publications Feb 20 Judging the Judges: A Collection of LLM-Generated Relevance Judgements News Feb 11 HeritageWatch.ai News Feb 10 America's Digital Divide: Where Workers Are Falling Behind News Feb 17 Artificial intelligence is now used to locate ghost nets in the ocean Loading Opens in a new tab
Featured Blogs Feb 12 Microsoft Research and Physics Wallah team up to enhance AI-based tutoring Download Publication
Featured Blogs Feb 11 ExACT: Improving AI agents’ decision-making via test-time compute scaling Publication
Articles Feb 25 Panel Discussion: AI for Precision Health: Learning the language of nature and patients
Blogs Feb 25 Magma: A foundation model for multimodal AI agents across digital and physical worlds Publication
Publications Feb 20 Leveraging public data: Changes in local economic distress and drug overdose deaths at the county level, 2000 – 2019
Publications May 3 Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning