Google DeepMind's scientists Demis Hassabis and John Jumper, along with Washington University Professor David Bakker, have been awarded this year's Nobel Prize in Chemistry. This accolade is regarded as the pinnacle of scientific achievement, recognizing their outstanding contributions to computational protein design.

During Wednesday's press conference, Jumper stated, "This award highlights the potential of computational biology." Hassabis co-founded DeepMind in 2014, and Jumper was appointed as its director last year. This duo was honored with the Nobel Prize for developing an artificial intelligence model that successfully addressed a longstanding 50-year challenge in biology—predicting protein structures.

The tool, named AlphaFold2, can predict over 200 million protein structures from amino acid sequences, encompassing nearly all known proteins. This breakthrough enables researchers to gain deep insights into how proteins function within the body and interact with other molecules, providing unprecedented understanding for disease progression and drug development.

Since its launch, AlphaFold2 has been utilized by over two million scientists from 190 countries, available free of charge. It supports various research fields, including the development of malaria vaccines, treatment for Parkinson's disease, and the study of antibiotic-resistant bacteria. During the press conference, Jumper remarked that AlphaFold2 has had an immediate impact by significantly accelerating research progress. He added, "We look forward to being better equipped to leverage biological knowledge in drug development in the near future. We hope this means we will ultimately be more capable of addressing challenges such as pandemics."

Hassabis stated that his dedication to artificial intelligence research stems from the technology's ability to "improve the lives of billions of people." However, he also cautioned that artificial intelligence could have both positive and negative impacts. "As these systems and technologies continue to advance, we must carefully consider how to maximize benefits and ensure proper application while mitigating potential risks."

Notably, reflecting the profound impact of artificial intelligence on fundamental science, this year's Nobel Prize in Physics was also awarded to two AI researchers, John Hopfield and Geoffrey Hinton, for their outstanding contributions in training neural networks using principles from physics.