Graph-based AI model finds hidden links between science and art to suggest novel materials
Imagine using artificial intelligence to compare two seemingly unrelated creations—biological tissue and Beethoven’s “Symphony No. 9.” At first glance, a living system and a musical masterpiece might appear to have no connection. 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, uncovering shared patterns of complexity and order.
Collin M. Stultz, the Nina T. and Robert H. Rubin Professor in Medical Engineering and Science at MIT, has been named co-director of the Harvard-MIT Program in Health Sciences and Technology (HST), and associate director of MIT’s Institute for Medical Engineering and Science (IMES), effective June 1. IMES is HST’s…
Unlike birds, which navigate unknown environments with remarkable speed and agility, drones typically rely on external guidance or pre-mapped routes. However, a groundbreaking development by Professor Fu Zhang and researchers from the Department of Mechanical Engineering of Faculty of Engineering at the University of Hong Kong (HKU), has enabled drones…
University of Virginia School of Engineering and Applied Science professor Nikolaos Sidiropoulos has introduced a breakthrough in graph mining with the development of a new computational algorithm.