UNIVERSITY PARK, Pa. — Discovering traits of supplies utilizing machine studying would be the topic of the primary Center for Artificial Intelligence Foundations and Scientific Applications (CENSAI) month-to-month seminar of the autumn 2022 semester. The talk will likely be held on-line at 4 p.m., Sept. 12, and is open to the Penn State group.
A. Gilad Kusne, employees scientist with the National Institute of (*12*) and Technology (NIST), adjunct professor on the University of Maryland, and a fellow of the American Physical Society, will give a talk on his analysis that’s half of the White House’s Materials Genome Initiative (MGI) at NIST. The MGI’s objective is to drive the exploration and innovation of superior supplies by way of machine studying.
In his presentation, Kusne will element the techniques in improvement at NIST that use machine studying to facilitate steps of the analysis course of, akin to designing, executing and analyzing experiments. This strategy is designed to speed up the seek for data whereas lowering burdens on scientists.
Kusne obtained his bachelor’s, grasp’s and doctoral levels from Carnegie Mellon University. His analysis emphasizes constructing autonomous analysis techniques with machine studying with the intention of advancing organic supplies. Kusne at present leads the event of worldwide, cross-disciplinary autonomous analysis techniques with a concentrate on enhancing strong state, comfortable, and organic supplies. These analysis techniques, coupled with machine studying, permit the design and execution (within the lab and in silico), for additional evaluation. His work has earned him the best NIST award, the NIST Bronze Award.
CENSAI is housed within the Institute for Computational and Data Sciences (ICDS) and permits Penn State researchers to discover the use of synthetic intelligence as a device to dramatically speed up the scientific course of.
Learn extra in regards to the seminar, or register right here.