ML (Machine Learning) at Georgia Tech

The United States Department of Energy (DOE) has given three institutions a $5.5 million grant to collectively find solutions to some of the most challenging problems in artificial intelligence (AI) today. Scientists from Georgia Tech, Pacific Northwest National Laboratory, and Sandia National Laboratory will collaborate to develop technologies that are core to the DOE's priorities including cybersecurity, graph analytics, and electric grid resilience. Tushar Krishna, an assistant professor in Georgia Tech's School of Electrical and Computer Engineering and Machine Learning Center (ML@GT), will serve as a deputy director of the newly established Center for Artificial Intelligence-focused Architectures and Algorithms (ARIAA). Georgia Tech is contributing expertise in modeling and developing custom accelerators for machine learning and sparse linear algebra. The institute will also provide access to its advanced computing resources.