Abstract: Beyond lithium-ion batteries, like sodium and potassium, are more abundant in the Earth’s crust and alleviate geopolitical concerns surrounding the materials inside of lithium-based batteries. However, both sodium and […]
The inaugural Penn AI Symposium is a landmark event that gathers leading thinkers who will share their explorations at the frontiers of artificial intelligence. The symposium is hosted by Penn AI, […]
Now in its sixth year, Climate Week at Penn offers opportunities for every member of the Penn community to learn about and act on the climate crisis. The theme for […]
Artificial intelligence systems powered by deep neural networks have achieved remarkable success across a broad range of applications. However, perturbations such as natural image corruptions or crafted malicious queries, can […]
The displacement of one fluid by another in a porous medium gives rise to a rich variety of hydrodynamic instabilities. Beyond their scientific value as fascinating models of pattern formation, […]
Datacenters are the pillars of a digital economy and modern-day global IT services. The building blocks for today's datacenters are cost-effective volume servers that find their roots in the basic […]
Abstract TBD Zoom: https://upenn.zoom.us/j/97546234895
This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. ABSTRACT Artificial intelligence has achieved remarkable advances in linguistic intelligence, enabling machines to process […]
Abstract: Advancements in electrochemical separation have paved the way for innovative approaches to address critical challenges in water treatment and resource recovery. In this seminar, I will introduce the Electrochemical […]
Organisms have derived specific sets of traits in response to common selection pressures that serve as guideposts for optimal biological designs. A prime example is the evolution of toughened structures […]
Uncertainty propagation and mitigation is at the core of all robotic and control systems. The standard approach so far has followed the spirit of controlling a system “with uncertainties,” as […]
Zoom link: https://upenn.zoom.us/j/98220304722 We revisit the fundamental problem of learning with distribution shift, where a learner is given labeled samples from training distribution D, unlabeled samples from test distribution D′ and […]