On 8 October the Royal Swedish Academy of Sciences awarded the Nobel Prize in Physics to John Hopfield and Geoffrey Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks”. A day later, the Chemistry prize went to David Baker, Demis Hassabis, and John Jumper.
What happened
- Hopfield created an associative memory network that can store and reconstruct patterns, and Hinton built on it to develop the Boltzmann machine, which can learn to recognise characteristic features in data.
- Baker received half of the chemistry prize for computational protein design, and Hassabis and Jumper of Google DeepMind in London shared the other half for protein structure prediction with AlphaFold.
- AlphaFold has been used to predict the structures of around 200 million known proteins.
- Hinton, who left Google in 2023 so that he could speak more freely about the risks of AI, used interviews after the award to repeat his warnings about the technology.
Why it mattered
The awards marked AI’s arrival as a mainstream scientific tool and gave prominent recognition to both its potential and the warnings of one of its pioneers.
Lessons for organisations
As AI moves into core business processes, organisations need clear governance over where it is used, how outputs are checked, and who is accountable. Standards such as ISO/IEC 42001 provide a framework for managing AI responsibly.
Sources: Nobel Prize (physics), Nobel Prize (chemistry)
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