When John Jumper got the call earlier this month from the Royal Swedish Academy of Sciences that he was winning the Nobel Prize, he almost didn’t answer. The director of Google DeepMind, the tech ...
Read Jennifer Doudna’s tribute to Demis Hassabis here. Demis Hassabis learned he had won the 2024 Nobel Prize in Chemistry ...
Researchers have harnessed the power of artificial intelligence to tackle one of the most complex challenges in immunology: predicting how T cells recognize and respond to specific peptide antigens.
Last month, Demis Hassabis and John Jumper of Google DeepMind were jointly awarded the 2024 Nobel Prize in Chemistry for their development of AlphaFold 3. This AI model can more accurately predict the ...
Proteins are the microscopic workhorses of the human body, driving everything from oxygen transport to muscle contraction. Their complex 3D structures dictate their function, and understanding these ...
Baker, Hassabis, Jumper Awarded Nobel Prize in Chemistry for Protein Design and Structure Prediction
Three scientists were named winners of the 2024 Nobel Prize in Chemistry for their innovations in the fields of computational protein design and structure prediction. One half of the prize was awarded ...
No one could accuse Demis Hassabis of dreaming small. In 2016, the company he co-founded, DeepMind, shocked the world when an artificial intelligence model it created beat the best human player of the ...
Khaleej Times on MSN
Researchers are using AI to decode the human genome
In 2024, two scientists from Google DeepMind shared the Nobel Prize in chemistry for an artificial-intelligence program called AlphaFold2. For decades, scientists had struggled to understand how ...
The AI tool AlphaFold has been improved so that it can now predict the shape of very large and complex protein structures. Linköping University researchers have also succeeded in integrating ...
Los Angeles, CA – September 8, 2025 - Researchers have harnessed the power of artificial intelligence to tackle one of the most complex challenges in immunology: predicting how T cells recognize and ...
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