John Jumper, based in London, is a senior research scientist at DeepMind Technologies. John Jumper and his colleagues at DeepMind in London 2021 released AlphaFold, which uses artificial intelligence (AI) to predict protein structures with stunning accuracy. John Jumper recently stated that in the coming months, the AlphaFold team plans to release 100 million protein structures. The scientific journal Nature included John Jumper as one of the ten "people who mattered" in science in their annual listing of Nature's 10 2021.
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| - John M. Jumper (de)
- John Jumper (AI researcher) (en)
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| - John M. Jumper ist ein Chemiker und Experte für Künstliche Intelligenz (KI). Jumper war federführend bei der Entwicklung der KI-Software AlphaFold des Unternehmens DeepMind, das seit 2014 zu Google LLC gehört. Die Software gilt als Durchbruch bei der Vorhersage der Proteinstruktur basierend auf der Aminosäuresequenz des Proteins. (de)
- John Jumper, based in London, is a senior research scientist at DeepMind Technologies. John Jumper and his colleagues at DeepMind in London 2021 released AlphaFold, which uses artificial intelligence (AI) to predict protein structures with stunning accuracy. John Jumper recently stated that in the coming months, the AlphaFold team plans to release 100 million protein structures. The scientific journal Nature included John Jumper as one of the ten "people who mattered" in science in their annual listing of Nature's 10 2021. (en)
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| - John M. Jumper ist ein Chemiker und Experte für Künstliche Intelligenz (KI). Jumper war federführend bei der Entwicklung der KI-Software AlphaFold des Unternehmens DeepMind, das seit 2014 zu Google LLC gehört. Die Software gilt als Durchbruch bei der Vorhersage der Proteinstruktur basierend auf der Aminosäuresequenz des Proteins. (de)
- John Jumper, based in London, is a senior research scientist at DeepMind Technologies. John Jumper and his colleagues at DeepMind in London 2021 released AlphaFold, which uses artificial intelligence (AI) to predict protein structures with stunning accuracy. John Jumper recently stated that in the coming months, the AlphaFold team plans to release 100 million protein structures. The scientific journal Nature included John Jumper as one of the ten "people who mattered" in science in their annual listing of Nature's 10 2021. For 2022 he received the Wiley Prize in Biomedical Sciences. For 2023 he received the Breakthrough Prize in Life Sciences for developing AlphaFold, which accurately predicts the structure of a protein. He and his team have been working on Alpha Fold for the past few years, and their efforts have finally paid off. In November 2020, Alpha Fold was named the winner of the Critical Assessment of Structure Prediction (CASP) competition. This prestigious competition pits algorithms against each other to determine which one can best predict the 3D structure of proteins. Alpha Fold won the competition, beating out all of the other algorithms and making it the first machine learning algorithm to be able to accurately predict the 3D structure of proteins. John and his team are now working on improving Alpha Fold and making it even more accurate. They’re also exploring ways to use Alpha Fold to develop new treatments for diseases and create new materials with unique properties. (en)
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