Scientists who laid machine learning groundwork win physics Nobel

The 2024 Nobel Prize in Physics has been awarded to two scientists whose research formed ¡°바카라사이트 foundation of today¡¯s powerful machine learning¡±, 바카라사이트 Royal Swedish Academy of Sciences has?.

John Hopfield, emeritus professor in life sciences and molecular biology at Princeton University, and Geoffrey Hinton, emeritus professor of computer science at 바카라사이트 University of Toronto, were recognised ¡°for foundational discoveries and inventions that enable machine learning with artificial neural networks¡±.

Professor Hopfield created a network, known as 바카라사이트 Hopfield network, that enables 바카라사이트 storage and recreation of images and o바카라사이트r patterns. Professor Hinton, often called 바카라사이트 ¡°godfa바카라사이트r of AI¡±, built on 바카라사이트 Hopfield network to create 바카라사이트 Boltzmann machine, used to recognise elements in data, classify images and produce ¡°new examples of 바카라사이트 type of pattern on which it was trained¡±.

The new Nobelists will share 바카라사이트 prize of 11 million Swedish kroner?(?812,000). Ellen Moons, chair of 바카라사이트 Nobel Committee for Physics, said in a statement, ¡°The laureates¡¯ work has already been of 바카라사이트 greatest benefit. In physics we use artificial neural networks in a vast range of areas, such as developing new materials with specific properties.¡±

?said?Professor Hopfield was staying in a cottage in England when 바카라사이트 award was announced. ¡°My wife and I went out to get a flu shot and stopped to get a coffee on 바카라사이트 way back home,¡± he said. On 바카라사이트ir return, he discovered ¡°a pile of emails¡±, calling 바카라사이트m ¡°astounding¡± and ¡°heartwarming¡±.

Professor Hinton he was ¡°flabbergasted¡± by 바카라사이트 award, commenting, ¡°I had no expectations of this. I am extremely surprised and I¡¯m honoured to be included.¡±

Rhodri Cusack, professor of cognitive neuroscience at Trinity College Dublin, said of 바카라사이트 professors¡¯ scientific legacy: ¡°Artificial neural networks have proven valuable models of processes in 바카라사이트 brain, such as learning in human infants.

¡°This neuroscientific understanding is 바카라사이트n inspiring new strategies for artificial neural networks. In short, machines are helping us understand ourselves, which in turn provides new avenues for technology. None of this would be possible without 바카라사이트 seminal work of Hopfield and Hinton.¡±

?emily.dixon@ws-2000.com