We can accelerate scientific discovery by teaching generative AI to make novel predictions about never-before-seen ideas, concepts, and designs.
Similar to how cells in biological materials interact in complex but organized ways to perform a function, Beethoven's symphony arranges musical notes to create a coherent experience.
By employing methods inspired by category theory - a branch of mathematics focusing on abstract structures and relationships - Buehler's model systematically analyzes complex scientific concepts.
This approach can accelerate scientific breakthroughs by allowing AI systems to generate novel predictions in areas like material science, sustainable technologies, and beyond.
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