Abstract: Lipid materials having nanostructures that deviate from the conventional flat bilayer arrangement such as hexagonally packed lipid tubes and bi-continuous cubic phases are ubiquitous in nature. Their role remains elusive but over […]
A very popular trick for solving certain types of optimization problems is this: write your objective as the solution of a two-player zero-sum game, endow both players with an appropriate learning […]
This talk will cover 1) devices created one atomic layer at a time and 2) electrowetting optical elements. Atomic layer deposition (ALD) and Atomic Layer Etching (ALE) are self-limiting processes […]
Abstract: Modern machine learning models, and in particular multilayer neural networks, exhibit a broad range of puzzling phenomena. Their training requires to minimize a highly non-convex high-dimensional cost function, and […]
Abstract: One of the holy grails of drug-design is to obtain high-selectivity binding of a drug to the target protein, an extremely challenging endeavor for proteins that share high sequence […]
Abstract: Artificial intelligence (AI) algorithms, especially machine learning (ML) programs, are now being employed or proposed for use in: a) scanning résumés to weed out job applicants; b) evaluating risks […]
Physical human-robot interaction (pHRI) aims at taking advantage of the complementary capabilities of robots and humans. One of the key challenges in pHRI is to provide a high-bandwidth human-robot interaction […]
Penn Engineering is holding a workshop for students interested in applying for the 2020 National Science Foundation Graduate Research Fellowship (NSFGRF) . The goal of this workshop is to discuss […]
