AI is rapidly advancing the way we think, but we live in a material world. We still need to move things, make things, and maintain things. We need AI-driven robots […]
Test-time compute has emerged as a new axis for scaling language model capabilities, yet we lack a principled understanding of this paradigm. What are the right algorithms and trade-offs for […]
This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. ABSTRACT We introduce UMI-on-Legs, a new framework that combines real-world and simulation data for […]
The ability to tune the bandgap of metal halide perovskites by alloying different halide ions is key to advancing tandem solar cells and light-emitting displays. However, this compositional flexibility also […]
Zoom link: https://upenn.zoom.us/j/98220304722 In this talk, I will introduce adaptive conformal selection (ACS), an interactive framework for model-free selection with guaranteed error control. Building on conformal selection (Jin and Candès, […]
In this talk, I'll share (1) research on the benefits of frequent testing and "second-chance testing" (optional exam re-takes) on increased student learning and decreased test anxiety, (2) research on […]
Exams are an important tool for summative assessment, whose utility has only grown with the advent of large language models (LLMs) like ChatGPT, because they can be implemented in a […]
This event will be in-person ONLY in Wu and Chen Auditorium. ABSTRACT Despite recent advances, humans are still more agile and dexterous than robots; yet human communication (nerves) and actuation […]
Step back into the classroom with Penn Engineering! Join us for a series of TED Talk-style Lightning Talks featuring some of our most popular professors as they share their latest […]
The volume fraction phi for random close packed (RCP) spheres is approximately 0.64. It is well known that higher RCP volume fractions are achieved by using collections of particles with […]