Hopfield Neural Networks (HNNs) constitute a class of recurrent neural networks that function as associative memory systems, adept at converging towards stable states that represent optimised ...

Artificial intelligence pioneers John Hopfield and Geoffrey Hinton won the 2024 Nobel Prize in Physics for discoveries that enabled machine learning with artificial neural networks and set the scene ...

Princeton Professor Emeritus John Hopfield was awarded the 2024 Nobel Prize in Physics “for foundational discoveries and inventions that enable machine learning with artificial neural networks,” ...

Caltech and Princeton emeritus professor John Hopfield received the 2024 Nobel Prize in Physics on Tuesday, Oct. 8, for his work — much of it developed early on at the Pasadena campus – in the ...

Complex-valued neural networks represent an evolving frontier where the intrinsic properties of complex numbers—magnitude and phase—are harnessed to develop richer and more robust representations of ...

Professor Emeritus John Hopfield was awarded the 2024 Nobel Prize in Physics on Oct. 8. He won the prize jointly with Geoffrey Hinton, known as the godfather of artificial intelligence (AI), for their ...

For the first time, scientists John Hopfield and Geoffrey Hinton were awarded the Nobel Prize in Physics this year for pioneering work in machine learning. This paper forms the foundations of all ...

John Hopfield Ph.D. ’58, a professor emeritus in molecular biology at Princeton University, won the 2024 Nobel Prize in Physics, as announced Tuesday morning. He is the 51st Nobel laureate affiliated ...

Some dynamical behaviours of discontinuous complex-valued Hopfield neural networks are discussed in this paper. First, we introduce a method to construct the complex-valued set-valued mapping and ...