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 classs. 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 most 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. Only the current Quarter's videos are being hosted by Stanford; the videos 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.

Louay Eldada of Quanergy was originally scheduled to speak about the Quanergy Solid-State LIDAR for Driverless Cars on February 17, 2016. Unfortunately, he had a schedule conflict and had to cancel. As the topic is of interest to many people, we will try to reschedule his talk in the Spring or Fall.

Date Speaker Affiliation Title  
January 6, 2016 Song Han Stanford University Deep Compression and EIE: Deep Neural Network Model Compression and Hardware Acceleration
January 13, 2016 Quinn Jacobson Vibrado Technologies Where is wearable technology going?
January 20, 2016 Akram Boukai Silicium Energy Harvesting the World's Heat
January 27, 2016 Oriol Vinyals Google Recent advances in deep learning
February 3, 2016 Eleanor Rieffel & Wolfgang Polak" NASA Ames Research & Independent Consultant How to Compute with Schrödinger's Cat: An Introduction to Quantum Computing
February 10, 2016 Matt Johnson QCWare Quantum Computing as a Service
February 17, 2016      
February 24, 2016 Bianca Schroeder University of Toronto  
March 2, 2016 Rick Coulson Intel  
March 9, 2016 Lyle Ungar University of Pennsylvania How to make better forecasts
        EE380 CLASS EVALUATION FORM

 

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