Events  Deals  Jobs  SF Climate Week 2024 
    Sign in  
 
 
With Brenden Lake (Moore-Sloan Data Science Fellow @ NYU & Cognitive Science PhD @ MIT).
Tue, Jan 24, 2017 @ 06:30 PM   $5   Rise NYC, 43 W 23rd St, 2nd Fl
 
   
 
 
              

    
 
Sign up for our awesome New York
Tech Events weekly email newsletter.
   
LOCATION
EVENT DETAILS
DESCRIPTION:

Join us for the first NYAI event of 2017! We're excited to kick off the new year with Brenden Lake (Moore-Sloan Data Science Fellow at New York University) who will summarize and discuss Concepts and Questions As Programs.

Wine + Beer + AI + Networking = Great Night!

AGENDA:

[6:30 - 7:00 PM] Networking (Wine & Beer)

[7:00 - 7:10 PM] Welcome Introduction - Maryam Farooq (Co-Organizer, NYAI)

[7:10 - 8:00 PM] Keynote Speaker: Concepts and Questions as Programs - Brenden Lake (Moore-Sloan Data Science Fellow at New York University)

Brenden studies computational problems that are easier for people than they are for machines. He received his Ph.D. in Cognitive Science from MIT in 2014, and his M.S. and B.S. in Symbolic Systems from Stanford University in 2009. He is a recipient of the Robert J. Glushko Prize for Outstanding Doctoral Dissertation in Cognitive Science. His recent research on Bayesian Program Learning has been covered by many media outlets (New York Times, Washington Post, etc.) and was selected by Scientific American as one of the most important advances of 2016.

Both cognitive science and AI can gain by studying the human solutions to difficult computational problems. Brenden's talk will focus concept learning and question asking, two problems that people solve far better than machines. People can learn a new concept from fewer examples, and then use their concepts in richer ways -- for imagination, extrapolation, and explanation, not just classification. Moreover, learning is often an active process; people can ask rich and probing questions in order to reduce uncertainty, while algorithms for active learning ask simple and stereotyped queries. He will also discuss work on program induction as a cognitive model and potential solution for extracting richer concepts from less data, with applications to learning handwritten characters and learning recursive visual concepts from examples. Brenden will end with program synthesis as a model of question asking in simple games.

[8:00 - 8:15 PM] Rapid Q/A

[8:15 - 8:20 PM] Closing Remarks - Rizwan Habib (Founder/Organizer, NYAI)

[8:20 - 9:00 PM] Continued Networking



Thanks, and we look forward to seeing you at the event!



Regards,

Rizwan, Maryam, and Matt
 
 
 
 
© 2024 GarysGuide      About    Feedback    Press    Terms