RSVP for MISC talk by Ken Goldberg (April 10th, 11:30 AM @ Ehrlicher Room)
Title: Next Generation Brainstorming

Speaker Bio:

Ken Goldberg is an artist, inventor, and UC Berkeley Professor focusing on robotics. He was appointed the William S. Floyd Jr Distinguished Chair in Engineering and serves as Chair of the Industrial Engineering and Operations Research Department. He has secondary appointments in EECS, Art Practice, the School of Information, and Radiation Oncology at the UCSF Medical School. Ken is Director of the CITRIS "People and Robots" Initiative and the UC Berkeley AUTOLAB where he and his students pursue research in machine learning for robotics and automation in warehouses, homes, and operating rooms. Ken developed the first provably complete algorithms for part feeding and part fixturing and the first robot on the Internet. Despite agonizingly slow progress, he persists in trying to make robots less clumsy. He has over 250 peer-reviewed publications and 8 U.S. Patents. He co-founded and served as Editor-in-Chief of the IEEE Transactions on Automation Science and Engineering. Ken's artwork has appeared in 70 exhibits including the Whitney Biennial and films he has co-written have been selected for Sundance and nominated for an Emmy Award. Ken was awarded the NSF PECASE (Presidential Faculty Fellowship) from President Bill Clinton in 1995, elected IEEE Fellow in 2005 and selected by the IEEE Robotics and Automation Society for the George Saridis Leadership Award in 2016. He lives in the Bay Area and is madly in love with his wife, filmmaker and Webby Awards founder Tiffany Shlain, and their two daughters. (goldberg.berkeley.edu @Ken_Goldberg)

Abstract:

The process of brainstorming hasn't changed much since the term was coined in 1953. Yet everything else has: we're facing enormous problems in economics, politics, healthcare, and the environment. We have big data. We have big problems. How can we leverage technology to find solutions?

To brainstorm at the scale of social media, we're using techniques from an unlikely source: Robotics. To achieve scale and speed, our Collaborative Discovery Engine employs non-linear spatial models that present a broad diversity of ideas and higher-order statistical filtering that rapidly extract the most valuable ideas (the signals) from the noise.I'll present recent results on social innovation and collective brainstorming work with the U.S. State Department, General
Motors, and the State of California.

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