Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Video
Generative AI and Plural Governance: Mitigating Challenges and Surfacing Opportunities
Presented by Madeleine Daepp and Vanessa Gathecha at Microsoft Research Forum, Season 1, Episode 2 Madeleine Daepp talked about the potential impacts and challenges of generative AI in a year with over 70 major global elections, and AI…
Video
GigaPath: Foundation Model for Digital Pathology
Presented by Naoto Usuyama at Microsoft Research Forum, Season 1, Episode 2 Naoto Usuyama proposed GigaPath, a novel approach for training large vision transformers for gigapixel pathology images, utilizing a diverse real-world cancer patient dataset, with the goal…
Video
Getting Modular with Language Models: Building, Reusing a Library of Experts for Task Generalization
Presented by Alessandro Sordoni at Microsoft Research Forum, Season 1, Episode 2 Alessandro Sordoni shared recent efforts on building and re-using large collections of expert language models to improve zero-shot and few-shot generalization to unseen tasks.
Video
The Metacognitive Demands and Opportunities of Generative AI
Presented by Lev Tankelevitch at Microsoft Research Forum, Season 1, Episode 2 Lev Tankelevitch explored how metacognition—the psychological capacity to monitor and regulate one’s cognitive processes—provides a valuable perspective for comprehending and addressing the usability challenges of generative…
Video
What’s new in AutoGen?
Presented by Chi Wang at Microsoft Research Forum, Season 1, Episode 2 Chi Wang discussed the latest updates on AutoGen – the multi-agent framework for next generation AI applications. This includes milestones achieved, community feedback, new exciting features,…
Video
Panel: Transforming the Natural Sciences with AI
Hosted by Bonnie Kruft, with Rianne van den Berg, Tian Xie, Tristan Naumann, Kristen Severson, and Alex Lu at Microsoft Research Forum, Season 1, Episode 2 Microsoft researchers shared their advancements in the fields of foundations models, drug…
Video
Keynote: The Revolution in Scientific Discovery
Presented by Chris Bishop at Microsoft Research Forum, Season 1, Episode 2 Chris Bishop shared the vision for how AI for science will leverage AI to model and predict natural phenomena, including the exciting real-world progress being made…
Tool
MofDiff
MOFDiff is a diffusion model for generating coarse-grained MOF structures. This codebase also contains the code for deconstructing/reconstructing the all-atom MOF structures to train MOFDiff and assemble CG structures generated by MOFDiff.
Microsoft Research Blog
Scaling early detection of esophageal cancer with AI
Microsoft Research and Cyted have collaborated to build novel AI models (opens in new tab) to scale the early detection of esophageal cancer. The AI-supported methods demonstrated the same diagnostic performance as the existing manual…
