Physical Sciences in Oncology Center PSOC@Penn Spring 2022 Hybrid-Seminar Series Towne 225 / Raisler Lounge @ Noon (EST) For Zoom link , please contact manu@seas.upenn.edu
Wind energy plays a crucial role in clean energy generation. Currently, horizontal axis wind turbines dominate the wind energy sector. Nevertheless, vertical axis wind turbines (VAWTs) have some advantages over […]
Minimally invasive and chronic physiological monitoring can provide an effective means of disease prevention and early detection while the cumulative big data can unveil hidden patterns in our physiology. Yet, […]
Abstract There has been growing interest to drive chemical reactions via the direct use of renewable electricity to address sustainability challenges. The success of the approach rests on the use […]
Can we use robots to help humans learn a new motor skill, or to improve performance of a motor task? What are the neural substrates that support motor learning under […]
Geometric perception is the task of estimating geometric models (e.g., object pose and 3D structure) from sensor measurements and priors (e.g., point clouds and neural network detections). Geometric perception is […]
This seminar will be held live and broadcast on zoom – check email for zoom link or contact ksas@seas.upenn.edu. Precision medicine envisions a world where diagnostic and therapeutic opportunities are […]
For decades, the robotics community has been working on developing intelligent autonomous machines that can perform complex tasks in unstructured environments. We are now closer than ever to delivering on […]
Many industrial processes involve multiphase soft materials in which solid particles are dispersed or co-exists with a fluid phase and are therefore referred to as Particulate Soft Materials (PSMs). Examples […]
Deep networks often achieve better accuracy as we employ larger models. However, modern machine learning applications involve multiple considerations alongside accuracy, such as resource-efficiency, robustness, or fairness. Deploying ML in […]
