Friday, March 15, 2019

UC Berkeley’s Ken Goldberg and Michael I. Jordan will discuss AI at TC Sessions: Robotics + AI April 18

We’re just over a month out from our TC Sessions: Robotics + AI event at UC Berkeley on April 18. We’ve already announced a number of marquee guests for the event, including Marc Raibert, Colin Angle, Melonee Wise and Anthony Levandowski. Today we’ve got another exciting panel to unveil and, as an FYI, our early-bird sale ends Friday!

This is our third robotics event, but it’s the first time artificial intelligence has shared the spotlight. Today we’re revealing that two of UC Berkeley’s top names in the space will be sharing the stage to discuss the role of AI in society for a panel titled “Artificial Intelligence: Minds, Economies and Systems that Learn.”

The pair of professors will be discussing how AI grew to become one of modern society’s most ubiquitous and wide-ranging technologies. The panel will also explore where the tech will go from here.

Ken Goldberg is a professor of Industrial Engineering and Operations Research at UC Berkeley. He has co-authored more than 200 peer-reviewed papers on automation, robotics and social information. He is the editor-in-chief of IEEE Transactions on Automation Science and Engineering and co-founder of the Berkeley Center for New Media.

Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at UC Berkeley. His work touches on a wide range of topics, including computer science, AI and computational biology. He is a member of the National Academy of Engineering, the American Academy of Arts and Sciences and a Fellow of the American Association for the Advancement of Science.

Early-bird ticket sales end tomorrow, Friday. Book your tickets today and save $100 before prices increase.

Students, grab your discounted $45 tickets here.

Startups, make sure to check out our demo table packages, which include three tickets, for just $1,500.



from TechCrunch https://ift.tt/2Fe7I5t

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