Associate Professor of Computer Science and Neural Science
Courant Institute of Mathematical Sciences
New York University
Annoucement:
I am inviting papers for
Click above for the web site and more information
Together with Marcelo Cicconet , we created this online and fun game for all ages
It is based on the sudoku game, and we hope you enjoy. I am also
Co-Founder and AI Leader
Kooick.ai , New York
Nhega.com, New York
Teaching Spring 2025
CSCI-GA.3033-?076. Special Topics: Vision Meets Machine Learning
My critic/sicentific interest: Machine learning (ML) gives us today the best tool/method for prediction. Cudos! more research in this area is very likely to improve the field. However, we don't know what it learns. If Newtonian physics was developed by collecting a lot of video data of falling objects as input and applying ML techniques of today, the predictions for falling objects would likely be very accurate, air resistance would likely be accounted for. However, it would not uncover the physical laws F=ma, where F is the gravitational force and a=9.8 m/s^2 is the acceleration due to gravity. We may not even learn that mass is a relevant quantity. Visual understanding (and discovery) has not advanced much lately.
251 Mercer Street, Room 407
New York, NY 10011, USA.
dg1 @ nyu.edu
+1-212-998-3235
Revisiting Quantum Theory:
Quantum Elastica , April 2025
Phase Space Spin Entropy , April 2024
Quantum Knowledge in Phase Space , August 2023
On Quantum Entropy , September 2022
