Los pioneros del aprendizaje automatico se llevan el nobel de Fisica

Physics Nobel scooped by machine-learning pioneers

• Computation by neural networks (2000) - Geoffrey E. Hinton 

• Neural networks and physical systems with emergent collective computational abilities. (Classic 1982 paper) - J.J Hopfield

"It will be the equivalent of the industrial revolution. But instead of overtaking people in physical strength, it's going to overtake people in intellectual capacity. We have no experience of what it's like to have things smarter than us," Hinton said in a telephonic interview after the Nobel Prize announcement.

Additional reading:

"Although the initial inspiration of neural networks came from biology, insights from physics have helped neural networks to become usable. New connections between physics and machine learning produce powerful computational methods."

Classic paper from 1984 that set the tone describing a rigorous statistical theory of learning. (L.G Valiant).