IEEE congratulates John Hopfield at Princeton University and Geoffrey Hinton at the University of Toronto on winning the 2024 Nobel Prize for Physics. The prize was awarded jointly to the scientists “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
According to the announcement from the Nobel Foundation, the laureates’ contributions have “used tools from physics to develop methods that are the foundation of today’s powerful machine learning.” It further explains that the laureates’ work has already been a great benefit in physics to “use artificial neural networks in a vast range of areas, such as developing new materials with specific properties.”
Following is a sampling of some of the laureates’ published works related to these achievements that can be found in the IEEE Xplore Digital Library. All of the following articles listed below are available free to access for a limited period of time.
“Artificial neural networks”
IEEE Circuits and Devices Magazine, Sept. 1998
J. J. Hopfield
https://ieeexplore.ieee.org/document/8118
“Acoustic modeling using deep belief networks”
IEEE Transactions on Audio, Speech, and Language Processing, Jan. 2012
A. R. Mohamed, G. E. Dahl and G. Hinton
https://ieeexplore.ieee.org/document/5704567
“Deep belief nets for natural language call-routing”
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic, 2011
R. Sarikaya, G. E. Hinton and B. Ramabhadran
https://ieeexplore.ieee.org/document/5947649
“Deep belief networks using discriminative features for phone recognition”
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic, 2011
A. R. Mohamed, T. N. Sainath, G. Dahl, B. Ramabhadran, G. E. Hinton and M. A. Picheny
https://ieeexplore.ieee.org/document/5947494
“Learning a better representation of speech soundwaves using restricted boltzmann machines”
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic, 2011
N. Jaitly and G. Hinton
https://ieeexplore.ieee.org/document/5947700
In addition, there are nearly 500,000 articles related to the topics of artificial neural networks, machine learning and related technologies in the IEEE Xplore Digital Library.
You can also find additional articles published by the 2024 laureates John Hopfield and Geoffrey Hinton in IEEE Xplore.
