Artificial intelligence system rapidly predicts how two proteins will attach
The machine-learning model co-authored by SDSC affiliate Tommi Jaakkola could help scientists speed the development of new medicines.
Professors Elchanan Mossel and Rosalind Picard named 2021 ACM Fellows
Fellowship honors ACM members whose accomplishments drive innovation and make broader advances possible.
When should someone trust an AI assistant’s predictions?
MIT researchers, including SES-IDPS doctoral student Hussein Mozannar, created a method that helps humans develop a more accurate mental model of...
The promise and pitfalls of artificial intelligence explored at TEDxMIT event
MIT scientists discuss the future of AI with applications across many sectors, as a tool that can be both beneficial and harmful.
Tackling hard computational problems
SDSC core faculty David Gamarnik has developed a new tool, the Overlap Gap Property, for understanding computational problems that appear intractable.
