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A Boltzmann machine, like a Sherrington–Kirkpatrick model, is a network of units with a total "energy" (Hamiltonian) defined for the overall network. Its units produce binary results. Boltzmann machine weights are stochastic. The global energy in a Boltzmann machine is identical in form to that of Hopfield networks and Ising models:
Geoffrey Hinton invented a method [the Boltzmann machine] that can autonomously find properties in data, and so perform tasks such as identifying specific elements in pictures.”
Diagram of a restricted Boltzmann machine with three visible units and four hidden units (no bias units) A restricted Boltzmann machine (RBM) (also called a restricted Sherrington–Kirkpatrick model with external field or restricted stochastic Ising–Lenz–Little model) is a generative stochastic artificial neural network that can learn a probability distribution over its set of inputs.
Hinton was elected a Fellow of the Royal Society (FRS) in 1998. [67] He was the first winner of the Rumelhart Prize in 2001. [68] His certificate of election for the Royal Society reads: Geoffrey E. Hinton is internationally known for his work on artificial neural nets, especially how they can be designed to learn without the aid of a human ...
A few years later, Hinton and two other researchers (David Ackley and Terry Sejnowski) used the Hopfield network as the basis for their invention of the so-called Boltzmann machine—another ...
The 2024 Nobel Prize in physics has been awarded to John Hopfield and Geoffrey Hinton for their fundamental discoveries in machine learning, which paved the way for how artificial intelligence is ...
During 1985–1995, inspired by statistical mechanics, several architectures and methods were developed by Terry Sejnowski, Peter Dayan, Geoffrey Hinton, etc., including the Boltzmann machine, [146] restricted Boltzmann machine, [147] Helmholtz machine, [148] and the wake-sleep algorithm. [149]
STOCKHOLM (Reuters) -U.S. scientist John Hopfield and British-Canadian Geoffrey Hinton won the 2024 Nobel Prize in Physics on Tuesday for discoveries and inventions in machine learning that paved ...