Yansong Gao Title: "A Free-Energy Principle for Representation Learning" Keshav Patil Title: "Altered protein dynamics delineates the oncogenic potential of various kinase mutations" On Wednesday, October 6 at 12:00, PICS […]
Abstract Electrolytes are critical enabling components for Li-ion batteries to safely operate within a wide temperature range, under extreme fast charging, and under intense abuse conditions without sacrificing energy density […]
Today in the U.S., we deal with the severe, wide ranging effects of climate change from the West to East Coast in the form of heat waves, drought, wildfires, and […]
The past two decades have witnessed incredible advances towards the design of autonomous systems. This talk will discuss the role of motion planning in yielding solutions for an agent that […]
Room: Towne 225/Raisler Lounge For zoom link, contact manu@seas.upenn.edu.
Most materials suffer from a disease: fatigue. Symptoms include degradation of properties and growth of cracks under cyclic stretch. These materials are unfit for applications involving prolonged and cyclic loads. […]
Scale appears to be the winning recipe in today's leaderboards. And yet, extreme-scale neural models are still brittle to make errors that are often nonsensical and even counterintuitive. In this talk, I will argue for […]
Launched in May 2021, the Future Leaders in Mechanobiology is a monthly seminar series featuring up-and-coming leaders in mechanobiology–PhD students and postdocs from a wide range of fields, backgrounds, and institutions. By […]
Abstract The hydrocarbon processing industry is in the midst of a major shift in feedstocks, structure, and products. Aggressive carbon abatement targets and intrinsic efficiency advantages from electric vehicles strongly […]
Room: Towne 225/Raisler Lounge For zoom link, contact manu@seas.upenn.edu.
Current technology for decelerating a spacecraft from the high speed of atmospheric entry to the final stages of landing on Mars is based on low-density supersonic decelerators such as low […]
Distributed estimation is a central task in modern data science, where datasets are often generated from distributed sources or are too large to be stored on a centralized machine, and […]