The computer scientist’s dogged belief in the potential of neural networks helped unlock machine learning. But he’d be wise to remember the experience of a fellow laureate Way back in 2011 Marc Andreessen, a venture capitalist with aspirations to be a public intellectual, published an essay entitled “Why Software Is Eating the World”, predicting that computer code would take over large swaths of the economy. Thirteen years on, software now seems to be chomping its way through academia as well. This, at any rate, is one possible conclusion to be drawn from the fact that the computer scientist Geoffrey Hinton shares the 2024 Nobel prize in physics with John Hopfield, and that the computer scientist Demis Hassabis shares half of the Nobel prize in chemistry with one of his DeepMind colleagues, John Jumper. The award to Hassabis and Jumper was, in a way, predictable, for they built a machine – AlphaFold2 – that enables researchers to solve one of the toughest problems in biochemistry: predicting the structure of proteins, the building blocks of biological life. Their machine has been able to predict the structure of virtually all the 200m proteins that researchers have identified. So it’s a big deal – for chemistry. Continue reading...

Recognition for Demis Hassabis and Geoffrey Hinton marks moment when important ingredients came together It was more than even the most ardent advocates expected. After all the demonstrations of superhuman prowess, and the debates over whether the technology was humanity’s best invention yet or its surest route to self-destruction, artificial intelligence landed a Nobel prize this week. And then it landed another. First came the physics prize. The American John Hopfield and the British-Canadian Geoffrey Hinton won for foundational work on artificial neural networks, the computational architecture that underpins modern AI such as ChatGPT. Then came the chemistry prize, with half handed to Demis Hassabis and John Jumper at Google DeepMind. Their AlphaFold program solved a decades-long scientific challenge by predicting the structure of all life’s proteins. Continue reading...

Google DeepMind chief believes in benefits of AI but says risks must be taken as seriously as the climate crisis Most 17-year-olds spend their days playing video games, but Britain’s latest Nobel prize winner spent his teenage years developing them. Sir Demis Hassabis, who was jointly awarded the chemistry prize on Wednesday, got his big break in the tech world as co-designer of 1994’s hit game Theme Park, where players create and operate amusement parks. Continue reading...

British founder of DeepMind, Demis Hassabis, John Jumper and David Baker share prize for protein structure breakthroughs Two scientists at Google DeepMind and an American biochemist have been awarded the 2024 Nobel prize in chemistry for breakthroughs in predicting and designing the structure of proteins. Demis Hassabis, DeepMind’s British founder, and John Jumper, who led the development of the company’s AlphaFold protein prediction software, share half of the prize. Continue reading...