Abstract: The concept of “x-ray vision” is widely understood to be the ability to see through structures that are not transparent to the human eye. This concept would be a […]
Abstract: Many-body systems from soap bubbles to suspensions to polymers learn the drives that push them far from equilibrium. This learning has been detected with thermodynamic properties, such as work […]
Fireside Chat with Dr. CJ Taylor Date: Friday, February 26th Time: 4:00 - 5:00 PM EST Join USABE on Friday, February 26th at 4 PM for a conversation with Dr. […]
Physical Sciences in Oncology Center PSOC@Penn Spring 2021 Webinar Series Mondays at 12:00 noon (EST) For webinar links, please contact manu@seas.upenn.edu.
Machine learning has led to powerful advances in robotics: deep learning for visual perception from raw images and deep reinforcement learning (RL) for learning controls from trial and error. Yet, […]
Taming topological electronic phases is a fundamental challenge and an important milestone on the way towards novel electronic devices and topological quantum computation. Recent advances in fabrication techniques have made […]
Unlike the problem of safe task and motion planning in a completely known environment, the setting where the obstacles in a robot's workspace are not initially known and are incrementally […]
Software is everywhere, and almost everywhere, software is broken. Some bugs just crash your printer; others hand an identity thief your bank account number; still others let nation-states spy on […]
Abstract: For successful integration of autonomous systems such as drones and self-driving cars in our day-to-day life, they must be able to quickly adapt to ever-changing environments, and actively reason […]
Abstract Metal-organic frameworks (MOFs) are a versatile class of nanoporous materials synthesized in a “building-block” approach from inorganic nodes and organic linkers. By selecting appropriate building blocks, the structural and […]
Across healthcare, science, and engineering, we increasingly employ machine learning (ML) to automate decision-making that, in turn, affects our lives in profound ways. However, ML can fail, with significant and […]
Nanoparticles offer huge promise as drug delivery vehicles, though their translation to the clinic is hampered due to limited accumulation at target disease sites. To overcome this hurdle, we have […]