As an AI enthusiast, I am constantly following new approaches that could transform the way we understand innovation.
A fascinating article by Prof. Markus J. Buehler MIT shows how a graph-based AI approach is used to compare two seemingly unrelated creations – biological tissue and Beethoven’s βSymphony No. 9β. At first glance, a living system and a musical masterpiece seem to have nothing to do with each other. However, a novel AI method developed by Markus J. Buehler, the McAfee Professor of Engineering and Professor of Civil and Environmental Engineering and Mechanical Engineering at MIT, bridges this gap and uncovers common patterns of complexity and order. The approach uses graph structures to visualize connections between technologies and knowledge and predict future innovations.
This technology could not only make predictions more accurate, but also create completely new applications for companies because topics and creations (natural and man-made) can be linked together in a way that has never been done before. It’s inspiring to see how AI and data structures are helping to revolutionize strategic decision-making – an exciting field that I believe has great potential in my work too! π