Stanford University Department of Electrical Engineering
Computer Systems Colloquium (EE380) Schedule
Wednesdays, 16:30-17:45 in Shrirnam 104

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 104 of the Shriram Center for Bioengineering and Chemical Engineering on the Stanford Campus. The live talks (and the videos hosted on Panopto and 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 keep an electronic notebook or journal and 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.

Many past EE380 talks are available on YouTube, see the EE380 Playlist.

Date Speaker Affiliation Topic Title
Jan 9, 2019 CANCELLED
Jan 16, 2019 Wen-mei Hwu University of Illinois, Urbana-Champaign Computer Architecture Erudite: A Low-Latency, High-Capacity, and High-efficiency Prototype Systems for Computaional Intelligence
Jan 23, 2019 Carl Hewitt MIT (Emeritus) AI Infrastructure Scalable Intelligent Systems: Build and Deploy by 2025
Jan 30, 2019 Danny O'Brien EFF Impact of Regulations A Borderless Internet with Borderless Laws?
Feb 6, 2019 Raúl Camposano Sage-DA and Silicon Catalyst Hardware Development Electronic Design Automation (EDA) and the Resurgence of Chip Design
Feb 13, 2019 Mark Cummings, PhD. Orchestral Networks Networking From Sorcerer's Apprentice to Mad Scientist: How to Meet Today's Performance, Security, and Affordability Desires
Feb 20, 2019 Braden Hancock Stanford University Machine Learning Training Classifiers with Natural Language Explanations
Feb 27, 2019 Judith Estrin JLabs, LLC Social Impact Facing up to the byproducts of digitization--with power comes responsibility
Mar 6, 2019 Jamie Morgenstern Georgia Tech Social implications of Machine Learning` Extending the theory of ML for human-centric applications
Mar 13, 2019 Karthik Raghunathan and Arushi Raghuvanshi Cisco Natural Language User Interface Natural Language Processing for Production-Level Conversational Interfaces

 

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