
Episode 1: Tackling complex healthcare challenges
In this episode, Microsoft Research and Microsoft Health and Life Sciences leaders reflect on how AI is beginning to ease real-world challenges in healthcare. From reducing the burden of clinical documentation to improving data access…
Collaborators: Healthcare Innovation to Impact
In this discussion, Matthew Lungren, Jonathan Carlson, Smitha Saligrama, Will Guyman, and Cameron Runde explore how teams across Microsoft are working together to generate advanced AI capabilities and solutions for developers and clinicians around the…
Principal Applied Scientist – Microsoft E+D India team
The Microsoft E+D India team is looking for high caliber and highly motivated AI Experts to reimagine productivity with AI and build transformative products for our commercial customers. Our team of Applied Scientists is chartered…
Research Focus: Week of May 7, 2025
In this issue: New research on compound AI systems and causal verification of the Confidential Consortium Framework; release of Phi-4-reasoning; enriching tabular data with semantic structure, and more.
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…