[visionlist] 2022 UCSB AI and Neuroscience Virtual Summit, February 16-17, 2022
miguel.eckstein at psych.ucsb.edu
Tue Feb 15 14:00:59 -05 2022
_U__C Santa Barbara AI and Neuroscience, 2022 Virtual Summit, February
16-17, 2022, 9 AM- 1PM (Pacific Time)_
_Speaker__s_: Bing Brunton, Biology, University of Washington, Seattle;
Cengiz Pehlevan, Applied Mathematics, Harvard University; Leyla Isik,
Cognitive Science, Johns Hopkins University; Guy Van den Broeck,
Computer Science, UC Los Angeles; Jean-Rémi King, Facebook AI Research |
Ecole Normale Supérieure; Eva Dyer, Biomedical Engineering, Georgia
Tech; David Freedman, Neurobiology, The University of Chicago; Bing
Liu, Computer Science, University of Illinois at Chicago; Michael Goard,
Molecular, Cellular, and Developmental Biology, UC Santa Barbara;Tim
Kietzmann, Donders Institute for Brain, Cognition, and Behavior.
Details for the meeting can be found on the event website
Attendance is free, but registration is required
that your registration is for the entire Summit, and the same zoom
webinar link will allow you to join any session (on any of the two days).
This event is co-sponsored by the Mind and Machine Intelligence
Initiative <https://mind-machine.ucsb.edu/overview>, the Center for
Responsible Machine Learning <https://ml.ucsb.edu/>, Cottage Health
Research Institute <https://www.cottagehealth.org/research/>, and the
Institute for Collaborative Biotechnologies. <https://www.icb.ucsb.edu/>
Mind and Machine is a joint cross-disciplinary effort by UC Santa
Barbara academics to understand the capabilities of the human mind and
artificial intelligence (AI), and to design AI that is centered around
fruitful interactions with humans. Please join us for these engaging
presentations by leaders in the field. Interested in learning more about
Mind and Machine? Visit our website <https://mind-machine.ucsb.edu/>!
Miguel P. Eckstein, Ph.D.
Duncan and Suzanne Mellichamp Professor in Mind and Machine Intelligence, Dept. of Psychological & Brain Sciences
Affiliated Professor, Dept. of Electrical and Computer Engineering & Dept. of Computer Science
Institute for Collaborative Biotechnologies
University of California, Santa Barbara
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