Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Video
Dead-end Discovery: How offline reinforcement learning could assist healthcare decision-makers
Microsoft Research Senior Researcher Mehdi Fatemi, MIT Assistant Professor Marzyeh Ghassemi, and PhD student Taylor W. Killian answer several questions about their NeurIPS 2021 paper, “Medical Dead-ends and Learning to Identify High-risk States and Treatments.”…
Microsoft Research Blog
Using reinforcement learning to identify high-risk states and treatments in healthcare
As the pandemic overburdens medical facilities and clinicians become increasingly overworked, the ability to make quick decisions on providing the best possible treatment is even more critical. In urgent health situations, such decisions can mean…
Tool
Hippocorpus
To examine the cognitive processes of remembering and imagining and their traces in language, we introduce Hippocorpus, a dataset of 6,854 English diary-like short stories about recalled and imagined events. Using a crowdsourcing framework, we…
Microsoft Research Blog
Advancing AI trustworthiness: Updates on responsible AI research
Inflated expectations around the capabilities of AI technologies may lead people to believe that computers can’t be wrong. The truth is AI failures are not a matter of if but when. AI is a human…
Publication