The University of Washington is one of the world's top centers of research in machine learning. We are active in most major areas of machine learning and in a variety of applications like natural language processing, vision, computational biology, the web, and social networks. Check out the links to find out who's who and what's happening in ML at UW, and be sure to also see our school-wide efforts in big data.
News
- The Allen School launches the SAML (System, Architecture, Machine learning, and programming Language) research group to explore new directions in machine learning systems and develop solutions that span the hardware-software stack
- Using precision medicine to kill cancer — with artificial intelligence, a GeekWire Health Tech Podcast featuring Allen School professor Su-In Lee and the MERGE project
- UW researchers "MERGE" machine learning and medicine to enable targeted treatment of cancer
- Allen School and AWS team up on new NNVM compiler for deep learning frameworks
- Allen School's open-source TVM framework bridges the gap between deep learning and hardware innovation
- Kevin Jamieson joins Allen School faculty as Guestrin Endowed Professor in Artificial Intelligence & Machine Learning
- Announcing the Guestrin Endowed Professorship in Artificial Intelligence & Machine Learning, a $1 million endowment to support efforts to recruit and retain outstanding faculty named after Allen School professor Carlos Guestrin and made possible by Apple's acquisition of UW spinout Turi
- What makes Bach sound like Bach? New dataset teaches algorithms classical music describes MusicNet, the first large-scale public dataset that enables machine learning algorithms to learn the features of classical music