Sep 9–12, 2019

Ion Stoica
Professor, University of California, Berkeley

Ion Stoica is a professor in the Electrical Engineering and Computer Sciences (EECS) Department at the University of California, Berkeley, where he researches cloud computing and networked computer systems. Previously, he worked on dynamic packet state, chord DHT, internet indirection infrastructure (i3), declarative networks, and large-scale systems, including Apache Spark, Apache Mesos, and Alluxio. He’s the cofounder of Databricks—a startup to commercialize Apache Spark—and Conviva—a startup to commercialize technologies for large-scale video distribution. Ion is an ACM fellow and has received numerous awards, including inclusion in the SIGOPS Hall of Fame (2015), the SIGCOMM Test of Time Award (2011), and the ACM doctoral dissertation award (2001).

Sessions

1:30pm–5:00pm Tuesday, September 10, 2019

Location: 230 B

Building reinforcement learning models and AI applications with Ray

Implementing AI

Secondary topics: Machine Learning, Reinforcement Learning

Robert Nishihara (University of California, Berkeley), Philipp Moritz (University of California, Berkeley), Ion Stoica (University of California, Berkeley)

Building AI applications is hard, and building the next generation of AI applications, such as online and reinforcement learning (RL), is more challenging. Robert Nishihara, Philipp Moritz, and Ion Stoica lead a deep dive into Ray—a general-purpose framework for programming your cluster—its API, and system architecture and examine application examples, including state-of-the-art algorithms. Read more.