Deep Learning Networks and Sensorimotor Control
Professor John Doyle and colleagues are among only nineteen groups in the United States to receive National Science Foundation (NSF) funding to conduct innovative research focused on neural and cognitive systems. They aim is to integrate the capabilities of deep learning networks into a biologically inspired architecture for sensorimotor control that can be used to design more robust platforms for complex engineered systems. [NSF release]
Professor Minnich Receives IPPA Junior Prize
Austin Minnich, Professor of Mechanical Engineering and Applied Physics, is a recipient of the International Photothermal and Photoacoustics Association (IPPA) Junior Prize. He received the prize for outstanding contributions to the understanding of quasiballistic thermal transport, including the development of photothermal methods to directly probe heat conduction at length scales comparable to phonon mean free paths; for demonstrating how microscopic transport properties of thermal phonons in solids may be obtained using photothermal experimental methods along with ab-initio calculations; and for advances in the mathematical treatment of quasiballistic transport using the Boltzmann equation.
Neural Networks Model Audience Reactions to Movies
Yisong Yue, Assistant Professor of Computing and Mathematical Sciences, and colleagues have created a new deep-learning software capable of assessing complex audience reactions to movies using the viewer's facial expressions. "Understanding human behavior is fundamental to developing AI [artificial intelligence] systems that exhibit greater behavioral and social intelligence. For example, developing AI systems to assist in monitoring and caring for the elderly relies on being able to pick up cues from their body language. After all, people don't always explicitly say that they are unhappy or have some problem," Professor Yue says. [Caltech story]
Professor Rosakis Named ICF Honorary Fellow and Vice President
Ares J. Rosakis, Theodore von Karman Professor of Aeronautics and Mechanical Engineering, has been named an honorary fellow of the International Congress on Fracture (ICF) which is the premier international body for promotion of worldwide cooperation among scientists and engineers concerned with the mechanics and mechanisms of fracture, fatigue, and strength of solids. He has also been elected as one of the group's three vice presidents.
Andrei Faraon, Assistant Professor of Applied Physics and Materials Science, and colleagues have discovered how to use computer-chip manufacturing technologies to create the kind of reflective materials that make safety vests, running shoes, and road signs appear shiny in the dark. The new technology uses surfaces covered by a metamaterial consisting of millions of silicon pillars, each only a few hundred nanometers tall. By adjusting the size of the pillars and the spacing between them, Faraon can manipulate how the surface reflects, refracts, or transmits light. [Caltech story]