The 2024 Nobel Prize in Physics has been awarded to John Hopfield and Geoffrey Hinton for their groundbreaking work in machine learning, which forms the basis of modern artificial intelligence. Their research, conducted in the 1980s, laid the foundations for neural networks that mimic the human brain’s structure and learning processes.

Hopfield developed a network model in 1982 that could store and retrieve patterns, while Hinton expanded on this work, creating the “Boltzmann machine,” an early form of machine learning. These discoveries have led to the development of powerful AI systems used in various applications today, from facial recognition to language translation and medical diagnostics.

Geoffrey Hinton, often called the “godfather” of AI, expressed both excitement about the technology’s potential to revolutionize fields like healthcare and concern about its possible negative consequences. He highlighted the need to address the risks associated with AI systems potentially becoming uncontrollable or surpassing human intelligence.

The article also touches on Hinton’s recent decision to leave his position at Google to speak more freely about AI’s potential dangers. Despite his concerns, Hinton maintains that he would make the same choices again given the circumstances, emphasizing the complex nature of scientific progress and its unforeseen impacts.

The Nobel committee emphasized the significance of Hopfield and Hinton’s work in creating the building blocks for machine learning systems that now play crucial roles in scientific research and everyday life.

Main story: CNN