Information Contrastive Learning (I-Con)
Discovering a periodic table of machine learning connecting over 23 different methods As the field of representation learning grows, there has been a proliferation of different loss functions to solve different classes of problems. We…
Retrieval with Learned Similarities
Real-world healthcare AI development and deployment—at scale
Microsoft’s Dr. Matthew Lungren and Epic’s Seth Hain discuss the challenges and opportunities of leveraging generative AI for enhanced patient care and improved clinical documentation and recordkeeping at scale—plus what’s next for the technology in…
Ideas: Accelerating Foundation Models Research: AI for all
Innovative AI research often depends on access to resources. Microsoft wants to help. Technical Advisor Evelyne Viegas and distinguished faculty from two Minority Serving Institutions discuss the benefits of Microsoft’s Accelerating Foundation Models Research program…