The Department of Bioengineering at the University of Pennsylvania and Dr. David Cormode are pleased to announce the Doctoral Dissertation Defense of Katherine Mossburg. Title: "Developing Silver Sulfide-Based Nanoparticles for […]
This event will be in-person ONLY in Wu and Chen Auditorium. ABSTRACT Vision Language Models (VLMs) are extremely successful, but their performance degrades when asked questions involving spatial relations and […]
To meet net-zero carbon emissions targets by mid-century, up to a ~30-fold increase in wind power capacity is required. Acceleration to this rate requires urgent improvements to efficiency and reliability […]
One grand challenge for materials and structures design is to satisfy multiple conflicting requirements. For example, energy infrastructure, especially those in remote and extreme environments such as offshore wind turbines […]
We seek the ability to take a few images of a scene of interest, and turn it into an immersive visual experience, where one can explore it from different viewpoints, […]
The two most popular vehicles for communicating uncertainty in the estimates of an unknown quantity are confidence sets and conformal sets. The set produced and its corresponding probability guarantee (conditional […]
This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. ABSTRACT Most tasks people wish robots could do (fetching objects across rooms, assisting in […]
Abstract: Biomolecular condensates are membraneless compartments inside living cells that play critical roles in health and disease. Over the past two decades, a wide body of work has established that […]
After an introduction to quantum computing, we discuss the currently practiced framework of "hybrid" computing, which is a method of accelerating traditional High Performance Compute (HPC) with Quantum Processing Units. […]
The next generation of intelligent and autonomous systems requires not only novel devices but also new silicon architectures and design workflows that transcend conventional approaches to deliver real-time learning, perception, […]
Zoom link: https://upenn.zoom.us/j/98220304722 Weak-to-Strong Generalization (Burns et al., 2023) is the phenomenon whereby a strong student, say GPT-4, learns a task from a weak teacher, say GPT-2, and ends up […]