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Put AI to work
September 17-18, 2017: Training
September 18-20, 2017: Tutorials & Conference
San Francisco, CA
Ion Stoica

Ion Stoica
Professor, UC Berkeley

Website

Ion Stoica is a professor in the EECS Department at the University of California, Berkeley, where he does research on cloud computing and networked computer systems. Ion’s previous work includes dynamic packet state, chord DHT, internet indirection infrastructure (i3), declarative networks, and large-scale systems, including Apache Spark, Apache Mesos, and Alluxio. He is 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 Monday, September 18, 2017
Implementing AI
Location: Imperial A Level: Intermediate
Secondary topics:  Algorithms, Open source, Transportation and autonomous vehicles
Ion Stoica (UC Berkeley), Robert Nishihara (UC Berkeley), Philipp Moritz (UC Berkeley)
Average rating: ****.
(4.57, 7 ratings)
Ion Stoica, Robert Nishihara, and Philipp Moritz lead a deep dive into Ray, a new distributed execution framework for reinforcement learning applications, walking you through Ray's API and system architecture and sharing application examples, including several state-of-the art RL algorithms. Read more.
11:55am–12:35pm Tuesday, September 19, 2017
Implementing AI
Location: Yosemite BC Level: Intermediate
Secondary topics:  Data science and AI, Tools and frameworks
Ion Stoica (UC Berkeley)
Average rating: ***..
(3.75, 4 ratings)
Ion Stoica offers an overview of Ray, a new distributed execution framework for reinforcement learning applications, walking you through Ray's API and system architecture and sharing application examples, including several state-of-the art RL algorithms. Read more.