Neuroscience and Artificial Intelligence Need Each Other

Monday, November 5, 2018

Yale Starlight Science Series
Bringing discovery from Yale to China, hosted by Yale Center Beijing

The Yale Starlight Science Series will bring outstanding science faculty from Yale University to China to present their latest research, and engage with audiences on related topics of interest. Please join us to explore the latest breakthroughs in scientific frontiers, and what relevance they hold for the future!

Time and Location

Friday, 11/05/2018
Registration:   6:00-6:30 pm
Talk and Q&A:   6:30-7:30 pm

Yale Center Beijing
8 Jianguomenwai Avenue, 36th Floor, Tower B, IFC Building (Yong’anli Station, Exit C)

Registration and Fees

RMB 20 for students; RMB 60 for Yale alumni; RMB 80 for others. Includes light refreshments.
Walk-ins are not accepted.
Those who purchase student tickets are required to show a valid student ID at check-in.
Click HERE to register.
Please email yalecenterbeijing@yale.edu if you have any questions, or call Yale Center Beijing at (10) 5909 0200.

The Event

Big data and fast computing have advanced both neuroscience and artificial intelligence. The use of machine learning to compute vast amounts of brain data allows researchers to start reading out the mind and to predict behavior. In turn, the enormous power and efficiency of brain computing and cognition can inform artificial intelligence. For visual recognition tasks, brain-inspired deep learning algorithms now achieve near human-like performance. The marriage of brain science and machine learning will make both more useful for improving people’s lives.

LANGUAGE

The language of the event will be English, with simultaneous interpretation.

The Speaker

Marvin Chun
Dean of Yale College, Richard M. Colgate Professor of Psychology

Marvin M. Chun is Dean of Yale College and the Richard M. Colgate Professor of Psychology, with secondary appointments in the Cognitive Science Program and the Yale School of Medicine Department of Neuroscience. He leads a cognitive neuroscience laboratory that uses functional brain imaging and machine learning techniques to decode and predict how the mind perceives the world, stores memories, and performs optimally.

Chun’s research has been honored with several early-mid career awards, such as the Troland Research Award from the United States National Academy of Sciences, and the American Psychological Association Distinguished Scientific Award for an Early Career Contribution to Psychology. His undergraduate teaching of Introduction to Psychology, one of the largest classes in Yale College, has been recognized with both the Phi Beta Kappa William Clyde DeVane Medal for Distinguished Scholarship and Teaching in Yale College, and the Lex Hixon '63 Prize for Teaching Excellence in the Social Sciences. He served as the John B. Madden head of Berkeley College from 2007-2016.