Hardware Accelerators for Next-Generation AI Models - From Random Forests to Graph Neural Networks

Explore a 32-minute lecture from the University of Michigan's MICDE where Professor Valeria Bertacco delves into the development and implementation of hardware accelerators designed for advanced artificial intelligence models, with particular focus on random forests and graph neural networks. Learn from the expertise of Bertacco, who serves as the Arthur F Thurnau Professor, Mary Lou Dorf Collegiate Professor of Computer Science and Engineering, and Vice Provost of Engaged Learning, as she shares insights on the intersection of hardware architecture and next-generation AI systems.