By the early 2000s, Hinton’s graduate students at U of T were beginning to use graphics processing units (GPUs) to train neural networks for image recognition tasks and their success suggested that ...

AlexNet revolutionized the use of neural networks for computer vision, creating one of the underpinnings of generative AI.

Geoffrey Hinton and John Hopfield were on Tuesday granted the honor of becoming Nobel laureates in physics, for their work on ...

His doctoral research delved into neural networks, a field that was largely ... associated with superintelligent systems. Geoffrey Hinton's journey mirrors the evolution of AI itself—from ...

His work culminated in the development of AlexNet in 2012, a neural network that dramatically outperformed competitors in image classification tasks on the ImageNet dataset. Geoffrey Hinton has ...

The announcement of the artificial intelligence researchers John Hopfield and Geoffrey Hinton as ... Congratulating Hopfield and Hinton, the Japanese Neural Network Society added pointedly ...

Psychology has been instrumental in the evolution of artificial intelligence, offering foundational insights into learning, cognition, and behavior that have shaped key AI technologies.

Co-authored the paper published in 1986 which popularized the backpropagation algorithm for training multi-layer neural networks, the foundation of today's AI models. In a BBC interview in 2023 ...

Awarded the 2024 Nobel Prize in Physics alongside Geoffrey E. Hinton for their foundational discoveries that enable machine learning with artificial neural networks. The prize recognises their ...

Krizhevsky was a graduate student under Nobel Prize-winning AI scientist Geoffrey ... chess triumph Hinton and other true believers kept working, refining the design of neural networks, including ...

At World Summit AI, Bengio reiterated that the risks of agentic AI include loss of human control and human extinction. For ...