In a supervised learning setting, a model fitting algorithm is unstable if small perturbations to the input (the training data) can often lead to large perturbations in the output (say, […]
Ferroelectric materials have emerged as promising candidates for next-generation non-volatile memory technologies due to their intrinsic remnant polarization and fast switching dynamics. Among them, aluminum scandium nitride (AlScN) stands out […]
AI-enabled systems have become ubiquitous and integral to safety-critical domains, e.g., autonomous vehicles and aerial robotics. Despite promising empirical results, decision-making processes for critical systems incorporating AI components require careful […]
Tunable and energy-efficient filters are key components in modern wireless communication, where RF front-end systems must operate across multiple frequency bands while minimizing power consumption. This thesis focuses on the […]
The Department of Bioengineering at the University of Pennsylvania and Dr. Chamith Rajapakse are pleased to announce the Doctoral Dissertation Defense of Brian-Tinh D. Vu. Title: "Rapid, High-resolution, and Signal-efficient […]
The Department of Bioengineering at the University of Pennsylvania and Dr. Flavia Vitale are pleased to announce the Doctoral Dissertation Defense of Georgios Mentzelopoulos. Title: From thoughts to actions: cracking […]
Wound healing is an essential biological process for maintaining homeostasis and, ultimately, for survival. We investigate the mechanisms underlying extreme wound healing in Stentor coeruleus, a single-celled organism, capable of […]
Today, reasoning is commonly interpreted as large language models generating chains of thought. Yet historically, AI reasoning had a very different meaning: executing algorithms that manipulated symbols to perform logical […]
Abstract: Natural products are historically great sources of human medicines, but their impacts are well beyond their use as drugs. In addition to well-known producers like environmental microbes and plants, […]
Topological nanowires, topological materials confined in one dimension (1D), hold great promise for robust and scalable quantum computing and low-dissipation interconnect applications, which will transform current computing technologies. To do […]
Zoom link: https://upenn.zoom.us/j/98220304722 A Heaviside function is an indicator function of a semi-infinite interval. A Heaviside composite function is a Heaviside function composed with a multivariate function that may be […]
Event Date: Friday, September 19, 2025 Time: 8 a.m. to 5 p.m. Event Location: Amy Gutmann Hall Auditorium Hosted by: ASSET Center for Trustworthy AI IDEAS Innovation in Data Engineering […]