The discovery of tools key to machine learning wins the 2024 physics Nobel
John Hopfield and Geoffrey Hinton used tools from physics to develop data analysis methods that underlie machine learning.
This year’s laureates did foundational work on man made neural networks
John Hopfield (left) and Geoffrey Hinton (right) won the 2024 Nobel Prize in physics for discoveries that allow machine learning with man made neural networks.
Niklas Elmehed, © Nobel Prize Outreach
The 2024 Nobel Prize in physics has been awarded to John Hopfield and Geoffrey Hinton “for foundational discoveries and inventions that enable machine learning with man made neural networks.”
This year’s laureates “have used tools from physics to develop methods that are the foundation of for the time being’s powerful machine learning,” the Royal Swedish Academy of Sciences in Stockholm said this morning in a press unlock.
Hopfield, of Princeton University, created a sort of memory that would store and reconstruct patterns in data. Hinton, of the University of Toronto, invented a technique to autonomously in finding properties in such data.
The winners will split the prize of eleven million Swedish kroner, or about $1 million.
It truly is a developing story that would well be updated all at some stage in the day.
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