Hopfield and Hinton were just awarded the Nobel Prize for Artificial Intelligence
John Hopfield:
John Hopfield is a physicist and neuroscientist best known for his contributions to theoretical neuroscience and artificial intelligence. He developed the Hopfield Network in 1982, a type of recurrent neural network that provided a foundation for modern AI and machine learning models. His work bridged physics, biology, and computation, emphasizing how systems of neurons can perform complex computations. Hopfield is also renowned for his work on associative memory and has made significant contributions to molecular biology. He has been a professor at Princeton University and the California Institute of Technology.
Geoffrey Hinton:
Geoffrey Hinton is a cognitive psychologist and computer scientist widely regarded as one of the pioneers of deep learning. He is known for his foundational work on artificial neural networks and the development of backpropagation algorithms, which are central to training modern deep learning models. Hinton’s work laid the groundwork for innovations in image recognition, natural language processing, and AI in general. He is a professor emeritus at the University of Toronto and has worked at Google as a key figure in their AI research division. Hinton has received numerous accolades, including the 2018 Turing Award, often referred to as the “Nobel Prize of Computing,” shared with Yann LeCun and Yoshua Bengio.
What is unique about Hinton: he’s an expert but also sounding alarm bells for society. Hinton believes A.I. will help us in healthcare but is concerned that the technology will eventually take over, and become very good at manipulating us (See Apple Intelligence).
