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.
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Tag - People in science
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.
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