Date: Friday, November 7
Time: 12-1pm
Location: Soda 510
Title: Machine Learning for Systems in the Age of AI
Abstract:
Machine learning and artificial intelligence have the potential to significantly improve computer systems. While research in this area has shown great promise, using modern ML techniques in this context is arguably still in its infancy, and real-world deployments are relatively rare. In this talk, I will discuss why this is, trends that may cause it to change, and some of the emerging opportunities for applying modern AI techniques in the context of computer systems.
Bio:
Martin Maas is a Senior Staff Research Scientist at Google DeepMind, where he is working on new approaches to leverage artificial intelligence for solving computer systems problems. His research has been deployed in a range of Google systems and products, including Google Compute Engine, TCMalloc, Pixel phones and the TPU compiler. His work has received multiple recognitions, including an ASPLOS Best Paper Award, an IEEE Micro Top Pick, a SIGPLAN Research Highlight, and a CACM Research Highlight. He has been active in several leadership roles in the community, including as Industry Track Co-Chair of MLSys 2026, General Chair of ISMM 2025, Vice Program Chair at ASPLOS 2025, Program Chair of ISMM 2020, and as one of the co-organizers of the ML for Systems workshop at NeurIPS. He also co-leads Google’s involvement in the free and open RISC-V instruction set architecture. Martin holds a Ph.D. from the University of California at Berkeley and a B.A. from the University of Cambridge, both in Computer Science.