[Sds-seminars] S&DS In-Person Seminar, Dan Yamins, 4/17, ML211, 4pm-5pm, "A Fruitful Reciprocity: The Neuroscience-AI Connection"

[elizavette.torres at yale.edu]

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

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=f
8b73c34-a27b-42a7-a073-af2d00f90ffa>
https://yale.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx?folderID=f8
b73c34-a27b-42a7-a073-af2d00f90ffa)

 <https://0.0.0.10/> 3:30pm -   Pre-talk meet and greet teatime - Dana
House, 24 Hillhouse Avenue 

 

Dan Yamins, Stanford University



Date: Monday, April 17, 2023

Time 4:00PM to 5:00PM

Mason Lab, Rm. 211
<http://maps.google.com/?q=9+Hillhouse+Avenue%2C+New+Haven%2C+CT%2C+06511%2C
+us> see map 

9 Hillhouse Avenue

New Haven, CT 06511

 <http://stanford.edu/~yamins/> Website

 

 

 

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=f
8b73c34-a27b-42a7-a073-af2d00f90ffa>
https://yale.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx?folderID=f8
b73c34-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/> 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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