Terence Tao doesn’t think AI will replace human mathematicians anytime soon, but he does consider it well suited to helping solve certain types of complex mathematical problems: ones that can be broken into thousands of small, manageable subproblems.
https://t.co/alhsq5Mm8b
Geometric dependence of critical-current variation in Al/AlOₓ/Al Josephson junctions: a model-based analysis
K. Kakuyanagi, N. Teran, H. Toida, S. Saito
https://t.co/pcXnGJm5Hy [𝚚𝚞𝚊𝚗𝚝-𝚙𝚑 𝚌𝚘𝚗𝚍-𝚖𝚊𝚝.𝚜𝚞𝚙𝚛-𝚌𝚘𝚗]
AI can give researchers the freedom to pursue “crazier” ideas.
For Terence Tao, AI creates more room to experiment, test unexpected paths, and discover what might otherwise stay out of reach.
@probnstat Classical bias–variance decomposition supposes an exchange that does not uphold itself in the enhanced overparameterized regime of deep learning.
@landofthe80s The ones who built it from the ground up.
1. Bruno Sammartino
2. Andre the Giant
3. Superstar Billy Graham
4. Bob Backlund
5. Gorilla Monsoon
This talk by Michael Freedman (1986 Field medalist) is one of the better ones that I've seen on AI, mathematics and the possible role of mathematicians in the future, centering the presentation around the Poincare conjecture and mathematical discovery.
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