To view recordings and slides from the event, please visit the Anyscale Blog.
Michael Jordan, Pehong Chen Distinguished Professor at UC Berkeley, offers his perspective on the current state and future of ML and AI, in his talk, “The Decision-Making Side of Machine Learning: Computational, Inferential and Economic Perspectives”.
Following Prof. Jordan’s talk, Ion Stoica, Professor at UC Berkeley and Director of RISELab, will present:
“The Future of Computing is Distributed”
The demands of modern workloads, such as machine learning, are growing much faster than the capabilities of a single-node computer. This leaves us with no choice but to distribute these workloads.
Afterward, the two will come together for Q&A and a panel discussion, moderated by Dean Wampler.
10:00am: Michael Jordan, “The Decision-Making Side of Machine Learning: Computational, Inferential and Economic Perspectives”
10:30am: Ion Stoica, “The Future of Computing is Distributed”
10:45am: Panel discussion and audience Q&A
A huge thank you to our Community Partners: