The Next 100x - Gavin Uberti | Stanford MLSys #92

Video Description

Episode 92 of the Stanford MLSys Seminar Series! The Next 100x - How the Physics of Chip Design Shapes the Future of Artificial Intelligence Speaker: Gavin Uberti Abstract: Moore's law is slowing down, but AI models are rapidly getting bigger. But why exactly is this happening? How chip designers dealt with it in the past? Why is it happening unevenly across transistors, wires, and memory? And how can AI designers avoid fighting the physical limitations, and work with them instead? Bio: Gavin is the founder of Etched, a company making highly specialized AI chips for Transformers. Before founding Etched, Gavin studied math at Harvard and worked for Xnor and OctoML building AI compilers like Apache TVM. His interests lie in AI scaling laws, watermarking and watermark detection, and in the interaction of chip design with the above topics. -- Stanford MLSys Seminar hosts: Avanika Narayan, Benjamin Spector, Michael Zhang Twitter: https://twitter.com/Avanika15​ https://twitter.com/bfspector https://twitter.com/mzhangio -- Check out our website for the schedule: http://mlsys.stanford.edu Join our mailing list to get weekly updates: https://groups.google.com/forum/#!forum/stanford-mlsys-seminars/join #machinelearning #ai #artificialintelligence #systems #mlsys #computerscience #stanford