Quantum technologies have the potential to revolutionize sensing, communication, and computation. To realize this potential, it will be necessary to scale the size and complexity of engineered quantum systems by […]
This event will be held virtually on zoom - check email or contact ksas@seas.upenn.edu. General anesthesia is a drug induced state that is critical for safely and humanely allowing a […]
Software bugs are pervasive in modern software. As software is integrated into increasingly many aspects of our lives, these bugs have increasingly severe consequences, both from a security (e.g. Cloudbleed, […]
It is becoming more difficult and expensive to continue developing internal combustion engine (ICE) powered vehicles to meet the increasingly tight emissions goals addressing global climate change. Over the last […]
Abstract: The presence of particles such as dust and pollen affect cloud microphysics significantly through their effect on the state of water. These particles can hinder or accelerate the liquid-to-solid […]
Autonomous vehicles (AVs) are already driving on public roads around the US; however, their rate of deployment far outpaces quality assurance and regulatory efforts. Consequently, even the most elementary tasks, […]
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.
The development of reduced order models for complex applications, offering the promise for rapid and accurate evaluation of the output of complex models under parameterized variation, remains a very active […]
Photonic quantum technologies have a unique potential for applications such as large-scale quantum networks and quantum-enhanced sensing. Furthermore, photons provide new paradigms for quantum simulations and a testbed for benchmarking […]
Machine learning is becoming widely used in decision making, in domains ranging from personalized medicine and mobile health to online education and recommendation systems. While (supervised) machine learning traditionally excels […]
