[WTI-trainee] FW: Dan Yamins Seminar, Monday April 17: "A Fruitful Reciprocity: The Neuroscience-AI Connection"

[Guerrero-Medina, Giovanna]

Some of you might be interested in this event.

Cheers,

Giovanna Guerrero-Medina, PhD
She/Her/Ella
Assistant Director for Diversity Equity & Inclusion,
Wu Tsai Institute at Yale
giovanna.guerrero-medina at yale.edu<mailto:giovanna.guerrero-medina at yale.edu>
203.785.2915 (office), 616.643.7666 (cell)
wti.yale.edu<https://wti.yale.edu/>


From: WTI-Members <wti-members-bounces at mailman.yale.edu> on behalf of Lafferty, John <john.lafferty at yale.edu>
Date: Thursday, April 13, 2023 at 2:48 PM
To: wti-members at mailman.yale.edu <wti-members at mailman.yale.edu>
Subject: Dan Yamins Seminar, Monday April 17: "A Fruitful Reciprocity: The Neuroscience-AI Connection"



[Department of Statistics and Data Science]<https://statistics.yale.edu/>   Department of Statistics and Data Science <https://statistics.yale.edu/>

In-Person seminars will be held at Mason Lab 211, 9 Hillhouse Avenue with the option of virtual participation (https://yale.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx?folderID=f8b73c34-a27b-42a7-a073-af2d00f90ffa)
3:30pm<https://0.0.0.10/> -   Pre-talk meet and greet teatime - Dana House, 24 Hillhouse Avenue

Dan Yamins, Stanford University
[cid:image002.jpg at 01D96E16.D82A5890]Date: Monday, April 17, 2023
Time 4:00PM to 5:00PM
Mason Lab, Rm. 211 see map<http://maps.google.com/?q=9+Hillhouse+Avenue%2C+New+Haven%2C+CT%2C+06511%2C+us>
9 Hillhouse Avenue
New Haven, CT 06511
Website<http://stanford.edu/~yamins/>



A Fruitful Reciprocity: The Neuroscience-AI Connection

Information and Abstract:


The emerging field of NeuroAI has leveraged techniques from artificial intelligence to analyze large-scale brain data. In this talk, I will show that the connection between neuroscience and AI can be fruitful in both directions. Towards “AI driving neuroscience”, I will discuss recent advances in self-supervised learning with deep recurrent networks that yield a developmentally-plausible model of the primate visual system.  In the direction of “neuroscience guiding AI”, I will present a novel cognitively-grounded computational theory of perception that generates powerful new learning algorithms for real-world scene understanding.  Taken together, these ideas illustrate how neural networks optimized to solve cognitively-informed tasks provide a unified framework for both understanding the brain and improving AI.


In-Person seminars will be held at Mason Lab 211 with optional remote access:
(https://yale.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx?folderID=f8b73c34-a27b-42a7-a073-af2d00f90ffa)

3:30pm – Pre-talk meet and greet teatime – Dana House, 24 Hillhouse Avenue

For more details and upcoming events visit our website at http://statistics.yale.edu/

Department of Statistics and Data Science
Yale University
24 Hillhouse Avenue
New Haven, CT 06511
t 203.432.0666
f 203.432.0633

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