On October 8, the Nobel Prize in Physics 2024 was awarded to John J. Hopfield and Geoffrey E. Hinton "for foundational discoveries and inventions that enable machine learning with artificial neural networks".*
This year’s Nobel Laureates didn’t achieve their breakthroughs overnight. Below you can read, share, and download a selection of their research that’s published across PÕ¾ÊÓƵ’s journals and books. Read the story of this year’s Laureates in Physics.
| . Published in: Biological Cybernetics | . In Published: Biological Cybernetics | . Published in: Nature Neuroscience | |
. Published in: Nature |
| . Published in: Nature |
| . In: Complexity in Information Theory | . In: From Neural Networks and Biomolecular Engineering to Bioelectronics | . In: More Things in Heaven and Earth |
| . In: Disordered Systems and Biological Organization | . In: Computation and Neural Systems | . In: Model Neural Networks and Behavior |
| Published in: Journal of Signal Processing Systems | . In: Statistics and Computing | . In: Machine Learning |
. Published in: Nature | . Published in: International Journal of Computer Vision | . Published in: Nature |
| . Published in: Nature Reviews Neuroscience | . Published in: Nature | . Published in: Nature |
. In: Computer Vision – ECCV 2020 | A Practical Guide to Training Restricted Boltzmann Machines. In: Neural Networks: Tricks of the Trade | . In: Artificial Neural Networks and Machine Learning – ICANN 2011 |
. In: Computer Vision – ECCV 2010 | . In: Artificial Neural Networks - ICANN 2008 | . In: Artificial Neural Networks — ICANN 2002 |
. In: ICANN ’93 | . In: PARLE Parallel Architectures and Languages Europe | . In: Encyclopedia of Machine Learning and Data Mining |
| . In: Encyclopedia of Machine Learning and Data Mining |
