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AI is already taking on one thing: the Nobel Prize
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AI is already taking on one thing: the Nobel Prize

The second AI-related Nobel Prize of 2024, this time for chemistry, was awarded to a group of scientists who solved one of chemistry’s great challenges, namely predicting and designing the structure of proteins, by harnessing the power of artificial intelligence took advantage.

The Royal Swedish Academy of Sciences shared the prize, recognizing the work of Demis Hassabis and John M. Jumper for the development of AlphaFold2, an AI model with which they predicted the structure of virtually all 200 million known proteins, the building blocks of life .

Hassabis is co-founder and CEO of Google DeepMind and Jumper is its director.

The prize committee said AlphaFold2 “has been used by more than two million people from 190 countries. “In addition to a variety of scientific applications, researchers can now better understand antibiotic resistance and create images of enzymes that can break down plastic.”

The other half of the prize went to University of Washington biochemist David Baker for developing computational tools to produce completely novel proteins, a long-time dream of researchers. Since developing the first new protein in 2003, “his research group has produced one imaginative protein creation after another, including proteins that can be used as drugs, vaccines, nanomaterials and tiny sensors,” the prize committee wrote.

As the field of AI explodes with new models and companies rush to convince the public that AI is the future of computing, these AI-related breakthroughs stand as notable examples of the technology’s potential benefit to humanity.

Hassabis is co-founder and CEO of Google DeepMind and Jumper is its director.

The prize committee said AlphaFold2 “has been used by more than two million people from 190 countries. “In addition to a variety of scientific applications, researchers can now better understand antibiotic resistance and create images of enzymes that can break down plastic.”

The other half of the prize went to University of Washington biochemist David Baker for developing computational tools to produce completely novel proteins, a long-time dream of researchers. Since developing the first new protein in 2003, “his research group has produced one imaginative protein creation after another, including proteins that can be used as drugs, vaccines, nanomaterials and tiny sensors,” the prize committee wrote.

As the field of AI explodes with new models and companies rush to convince the public that AI is the future of computing, these AI-related breakthroughs stand as notable examples of the technology’s potential benefit to humanity.

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