New AI Model Uses Graphs to Predict How Innovation Will Happen in Future
A new technique developed by mechanical and environmental engineering professor Markus J. Buehler will allow us to use artificial intelligence to predict how innovation will occur in the future. Prof. Buehler of MIT explains that by combining graph-based computational tools with generative artificial intelligence, one can generate entirely new designs, concepts, and ideas. This, he notes, can be used to speed up scientific discovery by teaching generative artificial intelligence how to make new forecasts about unimaginable designs, concepts and ideas. For his research, Buehler used graphs developed using techniques inspired by category theory to teach his model to understand associations…