Stanford University Department of Electrical Engineering
Computer Systems Colloquium (EE380) Schedule
Wednesdays, 4:30-5:45 in Gates B03

The Stanford EE Computer Systems Colloquium (EE380) meets on Wednesdays 4:30-5:45 throughout the academic year. Talks are given before a live audience in Room B03 in the basement of the Gates Computer Science Building on the Stanford Campus. The live talks (and the videos hosted at Stanford and on YouTube) are open to the public.

Stanford students may enroll in EE380 to take the Colloquium as a one unit S/NC class. Enrolled students are required to write a short, pithy comment about each of the ten lectures and a short free form evaluation of the class in order to receive credit. Assignments are due at the end of the quarter, on the last day of examinations.

EE380 is a video class. Live attendance is encouraged but not required. We (the organizers) feel that watching the video is not a substitute for being present in the classroom. Questions are encouraged.

  The EE380 web site is still under rennovation. As of the moment, the videos for many of the older talks are not available; we are working on making as many of the 30+ year backlog of videos as possible available on YouTube.

Many past EE380 talks are available on YouTube. A Consolidated List of past EE380 lectures available on YouTube is now available. The Schedule for Fall 2016 lists lectures and abstracts for Fall Quarter.

Videos from the current Quarter are hosted by Stanford; the lecture videos are available on YouTube a day or so following the lecture. The videos are now in HTML5--you should be able to watch the videos on your mobile phone, tablet, or computer. See the individual talk abstracts for links to their videos and ancillary materials, if any.

Date Speaker Affiliation Topic Title  
January 11, 2017 Geoffrey Hinton Google and University of Toronto Machine Learning Can the brain do back propogaion? (April 27, 2016)
January 18, 2017 Christian Simm swissnex San Francisco Swiss Computer Systems From chocolate to mice, the darknet to facial expressions, chatbots to humanitarians, and so forth
January 25, 2017 Allen Rush AMD Computer Architecture Deep Learning in the Age of Zen, Vega, and Beyond
February 1, 2017 John Gustafson Singapore National University Computer Arithmetic Beyond Floating Point: Next Generation Computer Arithmetic
February 8, 2017 Andreas Stuhlmüller Stanford Mechanism Theory Dialog Markets
February 15, 2017 Andreas Weigend Social Data Lab Data Science Data For The People
February 22, 2017 Thomas Sohmers REX Computing Computer Architecture The REX Neo Architecture: An energy efficient new processor architecture for HPC, DSP, Machine Learning, and more.
March 1, 2017 Steve Cousins Savioke Robotics Service Robots Are Here II
March 8, 2017 Melvin Johnson Google Machine Learning Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
March 15, 2017 Sven Beiker Stanford GSB Autonomous Driving Autonomous Driving, are we there yet? - technology, business, legal considerations
March 16, 2017 David Patterson and John Hennessy Google and Knight-Hennessy Scholars Program GSB Computer Architecture and Machine Learning 50 Years in the Making: The Open RISC-V Instruction Set architecture
followed by
Panel and Q&A on The Future of Computer Architecture


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