Professor Valeria Bertacco, University of Michigan Title: Beyond AI: Societal Opportunities for Future Hardware Design Abstract: Computing hardware has long been a critical component in the advancement of technology. Most recently, we've witnessed an explosive progression in the capabilities and applications of AI, enabled in large part by AI hardware acceleration. Looking beyond the potential benefits of […]

Professor Robert Tibshirani, Stanford University Online through zoom RSVP for Prof Tibshirani's Lecture Title: Data Science, Statistics, and Health with a Focus on Statistical Learning and Sparsity Abstract: First I will discuss some general issues in the application of statistics to biomedicine. These include the importance of transparency, reproducibility and  simplicity. Then I will cover some recent […]

Professor Kwabena Boahen, Stanford University Title: Dendrocentric Learning: The Future of Artificial Intelligence Abstract: Artificial Intelligence (AI) now advances by performing twice as many floating-point multiplications every two months, but the semiconductor industry tiles twice as many multipliers on a chip every two years. Moreover, returns from tiling these multipliers ever more densely now diminish because signals […]

Professor Mona Jarrahi – University of California, Los Angeles Title: New Frontiers in Terahertz Technology Abstract: Although unique potentials of terahertz waves for chemical identification, material characterization, biological sensing, and medical imaging have been recognized for quite a while, the relatively poor performance, higher costs, and bulky nature of current terahertz systems continue to impede their deployment […]