The reproductive soft tissues that support the fetus undergo some of the most dramatic and unique growth and remodeling events in the human body. The uterus and fetal membrane must […]
For the past two decades, power management and delivery has been a bottleneck, limiting the size and performance of a range of applications from performance computing to mobile phones and […]
System software like operating systems and hypervisors forms the critical backbone of our computing infrastructure. However, due to their size and complexity, these systems often contain vulnerabilities that can compromise […]
Abstract: Transformer-based language models have undoubtedly become the dominant and favorite architecture for language generation of our time. However, although they provide impressive text quality, they tend to be hard […]
This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT Safe and efficient motion planning is crucial for robots operating in dynamic […]
Connecting theoretical models for exotic quantum states to real materials is a key goal in quantum materials science. The structure of the crystalline lattice plays a foundational role in this […]
This will be a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. ABSTRACT Atomic systems (molecules, crystals, proteins, etc.) are naturally represented by a […]
Digital twins are virtual models of physical systems that allow for more computationally cost-effective evaluation and optimization. Building digital twins often involves machine learning techniques that integrate data with underlying […]
The Department of Bioengineering at the University of Pennsylvania and Dr. Peter Noel are pleased to announce the Doctoral Dissertation Defense of Leening Liu. Title: Spectral CT thermometry for real-time, non-invasive temperature […]
Funicular structural forms maximize the structural performance and minimize the use of materials by carrying the applied loads in the form of pure tensile/compressive axial forces. The internal structure of […]
I would probably "forget" what I will say in the abstract, and you would, too. Translation: deep neural networks can "forget", meaning they might perform poorly on previously learned tasks […]
Abstract: Modern machine learning methods are revolutionizing what we can do with data, from tiktok video recommendations to biomarkers discovery in cancer research. Yet, the complexity of these deep models […]