- 1,100
- 1,387
Some interesting context r.e. the Hopfield model for spin glasses:
https://indico.ictp.it/event/a02004/contribution/0/material/0/0.pdf
https://indico.ictp.it/event/a02004/contribution/0/material/0/0.pdf
The 2024 Nobel Prize in Physics was awarded to John J. Hopfield and Geoffrey E. Hinton for their foundational discoveries and inventions that enable machine learning with artificial neural networks. Predictions for potential laureates included Peter Shor and David Deutsch for quantum algorithms, Christoph Gerber for the atomic force microscope, and Pablo Jarrillo Herrero for magic angle twisted graphene. The discussion highlighted the increasing difficulty in predicting Nobel winners, particularly with the rise of interdisciplinary contributions from fields such as machine learning and quantum physics.
PREREQUISITESPhysicists, machine learning researchers, and anyone interested in the evolving landscape of scientific research and Nobel Prize predictions.
I least I got a prediction right, but it was not very difficult after yesterday's announcement.pines-demon said:Edit: My safe predictions for chemistry is AI for proteins.
Here is the equivalent press conference for Hopfield:EDMM2 said:Hinton's press conference interview about the award is pretty downbeat.