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
Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley.
His research interests bridge the computational, statistical, cognitive and biological sciences, and have focused in recent years on Bayesian nonparametric analysis, probabilistic graphical models, spectral methods, kernel machines and applications to problems in distributed computing systems, natural language processing, signal processing and statistical genetics. Prof. Jordan is a member of the National Academy of Sciences, a member of the National Academy of Engineering and a member of the American Academy of Arts and Sciences. He is a Fellow of the American Association for the Advancement of Science. He has been named a Neyman Lecturer and a Medallion Lecturer by the Institute of Mathematical Statistics. He received the IJCAI Research Excellence Award in 2016, the David E. Rumelhart Prize in 2015 and the ACM/AAAI Allen Newell Award in 2009. He is a Fellow of the AAAI, ACM, ASA, CSS, IEEE, IMS, ISBA and SIAM.
Ion Stoica is a Professor in the EECS Department at University of California at Berkeley. He does research on cloud computing and networked computer systems. Past work includes Apache Spark, Apache Mesos, Tachyon, Chord DHT, and Dynamic Packet State (DPS). He is an ACM Fellow and has received numerous awards, including the SIGOPS Hall of Fame Award (2015), the SIGCOMM Test of Time Award (2011), and the ACM doctoral dissertation award (2001). In 2013, he co-founded Databricks a startup to commercialize technologies for Big Data processing, and in 2006 he co-founded Conviva, a startup to commercialize technologies for large scale video distribution.