Room: Towne 225/Raisler Lounge For zoom link, contact manu@seas.upenn.edu.
Life-critical medical devices require robust safety and efficacy to treat patient populations with potentially large inter-patient and intra-patient variability. Today, the de facto standard for evaluating medical devices is the randomized clinical trial. However, even after years of device development many clinical trials fail. For example, in the Rhythm ID Goes Head to Head Trial […]
In the last decade, there have been major changes in the families of ferroelectric materials available for integration with CMOS electronics. These new materials, including Hf1-xZrxO2, Al1-xScxN, Al1-xBxN and Zn1-xMgxO, offer the possibility of new functionalities. This talk will discuss the possibility of exploiting the 3rd dimension in microelectronics for functions beyond interconnects, enabling 3D […]
Visual intelligence is a cornerstone of intelligence, for both humans and machines. In this talk, I go over a number of research work by our group on the topics of visual perception and robotic learning. The guiding principle of our work is inspired by the Gibsonian belief that perceptual and robotic learning should be based […]
Room: Towne 225/Raisler Lounge For zoom link, contact manu@seas.upenn.edu.
Computational fluid dynamics (CFD) can inform sustainable design of buildings and cities in terms of optimizing pedestrian wind comfort, air quality, thermal comfort, energy efficiency, and resiliency to extreme wind events. An important challenge is that the accuracy of CFD results can be compromised by the large natural variability and complex physics that are characteristic […]
As we march towards the age of “ubiquitous intelligence”, we note that AI and Machine learning are progressively moving from the Cloud to the Edge devices. The success of Edge-AI is pivoted on innovative circuits and hardware that can enable inference and limited learning, in hardware-constrained ultra-low-power (uW to mW) systems – an area of […]
Machine learning can be a powerful tool in helping society reduce greenhouse gas emissions and adapt to a changing climate. In this talk, we will explore opportunities and challenges in AI-for-climate, from optimizing electrical grids to monitoring crop yield, and how these impactful problems can also drive methodological innovations in machine learning.
We would like to have robots which can perform useful manipulation tasks in real-world environments. This requires robots that can perceive the world with both precision and semantic understanding, methods for communicating desired tasks to these systems, and closed loop visual feedback controllers for robustly executing manipulation tasks. This is hard to achieve with previous […]
Abstract A delicate balance of noncovalent interactions drives hydrated molecular amphiphiles to self-assemble into lyotropic liquid crystals (LLCs) of varied topologies, the exquisite nanodomain structures of which suggest applications as separations membranes, mesoporous materials synthesis templates, and therapeutic delivery vehicles. Based on hard sphere colloidal crystals, spherical micelles are intuitively expected to form high symmetry […]
