Webcast

The Future of Everything: Cars & Artificial Intelligence - LIVE! Presented by the Stanford School of Engineering and SiriusXM Radio

Sponsored by SiriusXM Radio

When

Tuesday, May 2, 2017
7:10 pm – 8:30 pm
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Where

Webcast: Facebook LIVE
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Contact via email
Contact via phone

650-736-9164

This event is open to:
Everyone

Admission
Free

Event Details:

Join us for a live webcast of The Future of Everything , Stanford Radio’s weekly show, from 7:10pm – 8:30pm (PST) on Tuesday, May 2nd. The Future of Everything, a Stanford collaboration with SiriusXM, is hosted by Stanford Professor Russ Altman, a recipient of the U.S. Presidential Early Career Award for Scientists and Engineers and a National Science Foundation CAREER Award. The program explores the myriad ways in which technology, science, and medicine shape our lives now and how they will impact us in the future.

Tune in for this special live event to hear two Stanford professors who conduct cutting-edge research. In the first half of the program we focus on artificial intelligence and what it means to the average person. Then, we’ll dive into how the technology behind autonomous vehicles is changing life on the highway. Altman brings his quirky sense of humor and his deep knowledge of bioengineering to help us understand the future of everything.

Date: Tuesday, May 2, 2017
Time: 7:10pm – 8:30pm
Watch LIVE: https://www.facebook.com/stanford.engineering/
Watch later on our YouTube page: 

(This is a live recording of the radio show, which will be aired on SiriusXM Radio at a later date.)

Featured Guests:

Chris Gerdes is a Professor of Mechanical Engineering, Director of the Center for Automotive Research at Stanford (CARS), and Director of the REVS program at Stanford. His lab looks at how to design future cars that work cooperatively with the driver or drive themselves. Vehicles in the lab include X1, an entirely student-built test vehicle, and Shelley, an Audi TT-S capable of turning a competitive lap time around the track without a human driver. Professor Gerdes holds a PhD from UC-Berkeley. 

Fei-Fei Li is an Associate Professor of Computer Science, and the Director of the Stanford Artificial Intelligence Lab and the Stanford Vision Lab. Dr. Li’s main research areas are in machine learning, computer vision and cognitive and computational neuroscience. She has published more than 150 scientific articles in top-tier journals and conferences, including Nature, PNAS, Journal of Neuroscience, and more. Dr. Li obtained her B.A. degree in physics from Princeton in 1999 with High Honors, and her PhD degree in electrical engineering from California Institute of Technology (Caltech) in 2005. She was selected as one of the Great Immigrants: The Pride of America in 2016 by the Carnegie Foundation.

Admission Info

FREE. Watch online on Facebook Live.

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