AI Wins Nobel in Physics and Chemistry : Wait, What?

AI Wins Nobel in Physics and Chemistry : Wait, What?

Artificial intelligence just made history again, and not in a sci-fi movie. This time, it's about science's highest honor—the Nobel Prize. In a jaw-dropping moment for both the scientific community and AI enthusiasts, the 2024 Nobel Prizes in Physics and Chemistry were awarded to AI researchers for revolutionizing our understanding of proteins and quantum physics.

In chemistry, half the prize went to Demis Hassabis and John M. Jumper from Google DeepMind for developing AlphaFold, an AI tool that can predict the 3D structure of proteins from amino acid sequences. This isn't just about taking cool pictures of proteins; it’s about solving one of the most complex puzzles in biology. The other half went to David Baker from the University of Washington for his innovative AI tools that design new proteins, potentially leading to advances in medicine, materials science, and beyond.

AlphaFold was a breakthrough in 2020 when it accurately predicted the shapes of proteins, a problem that previously took scientists months or years to solve manually. Now, it's capable of predicting the structures of DNA, RNA, and even small molecules like ligands, which are essential for drug discovery. Hassabis calls it a "proof point" for AI's power to speed up scientific discovery, and with over two million researchers already using AlphaFold, it’s making waves beyond lab doors.

Meanwhile, David Baker’s lab has been busy crafting AI models like Rosetta and ProteinMPNN, tools designed to design completely new proteins that nature never could—the kind of proteins that could help solve modern problems like COVID-19. In September, Baker's team even announced a way to target and eliminate disease-related proteins inside living cells, pushing the boundaries of what’s possible in molecular biology.

And that’s not all: AI also took home the Physics Nobel this year, awarded to Geoffrey Hinton, who’s often called one of the "godfathers of AI." Hinton's work with neural networks not only helped birth the modern AI age but also translated into breakthroughs in quantum computing and particle physics. During a press conference, Hinton, visibly humble, quipped about leaving physics initially because he found the math too challenging—ironic, considering his AI contributions have now earned him one of physics' highest honors.

So, here we are, with AI winning not just one, but two Nobels in a single year. It’s a testament to the evolving role of artificial intelligence in scientific discovery, one that’s not just assisting humans but actively leading the charge toward new horizons.



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