Graph-based AI model maps the future of innovation

MIT Professor Markus Buehler has developed an advanced AI method that bridges the creativity of art with scientific discovery. By using graph-based computational tools inspired by category theory, this AI model uncovers innovative connections between seemingly unrelated fields such as biology and music. The model has already suggested novel material designs inspired by the patterns found in abstract art, showcasing its potential to revolutionize material science, art, and technology.

Visit Original Article →