Today, reasoning is commonly interpreted as large language models generating chains of thought. Yet historically, AI reasoning had a very different meaning: executing algorithms that manipulated symbols to perform logical […]
Abstract: Natural products are historically great sources of human medicines, but their impacts are well beyond their use as drugs. In addition to well-known producers like environmental microbes and plants, […]
Topological nanowires, topological materials confined in one dimension (1D), hold great promise for robust and scalable quantum computing and low-dissipation interconnect applications, which will transform current computing technologies. To do […]
Zoom link: https://upenn.zoom.us/j/98220304722 A Heaviside function is an indicator function of a semi-infinite interval. A Heaviside composite function is a Heaviside function composed with a multivariate function that may be […]
Event Date: Friday, September 19, 2025 Time: 8 a.m. to 5 p.m. Event Location: Amy Gutmann Hall Auditorium Hosted by: ASSET Center for Trustworthy AI IDEAS Innovation in Data Engineering […]
This event will have a VIRTUAL SPEAKER. Streaming will be in-person only in Wu and Chen. ABSTRACT We are in the middle of a transformation of the scientific process. AI […]
Machine learning tools have tremendous potential to accelerate computationally complex physics-based simulations. One example is the need to accelerate materials discovery through first-principles Density Functional Theory (DFT) calculations. This seminar […]
Biology and Engineering form an interdisciplinary two-way street. On the one side, natural solutions can inform and inspire the design of mechanical systems. This is referred to as bioinspired design. […]
Power converters designed for higher frequency operation than conventional designs can be smaller and lighter. However, to gain these benefits and maintain high reliability the converters also need to be […]
Simultaneous Localization and Mapping is a fundamental problem for robots interacting with a novel environment and has been a densely studied area of research for several decades. The modern paradigm […]
Abstract: Magnetically actuated microrobots composed of dynamic assemblies of iron oxide nanoparticles (IONPs) offer versatile opportunities for biomedical applications. While such assemblies can reconfigure and perform diverse tasks under applied […]
A mystery of large language models (LLMs) is their ability to solve novel tasks, notably through a few demonstrations in the prompt (in-context learning). Such tasks often require the model […]