Fall 2022 Hybrid-Seminar Series Mondays 1.00-2.00 pm (EST) Towne 225 / Raisler Lounge For Zoom link, please contact <manu@seas.upenn.edu
Ordered sets model signals such as binary relations, concepts, partitions, rankings, matchings, events, as well as other taxa of information, temporal, hierarchical, relational, or, in general, logical in nature. We argue that (order-) lattice-based (networked) multi-agent systems constitute a broad class of systems in which data fusion, consensus, synchronization, and other collaborative tasks are described […]
The study of the early universe requires deep high-resolution maps of the sky at millimeter and submillimeter. This requires the development of state-of-the-art cryogenic receivers and custom built telescopes. These instruments operate in extreme locations including from NASA launched high-altitude balloons over Antarctica and high (5,200m/17,000ft) mountain tops in Northern Chile adding a level of […]
Nanolattices exhibit attractive mechanical, energy conversion, and optical properties, but it is challenging to fabricate nanolattices in large scale while maintaining the dense hierarchical nanometer features that enable their properties. Current advanced fabrication methods, like 3D printing or self-assembly, are significantly limited by their scalability or the cracking problem in the assembled templates. This work […]
ABSTRACT Traditional convolutional networks exhibit unprecedented robustness to intraclass nuisances when trained on big data. Generalization with respect to geometric transformations has been achieved via expensive data augmentation. It has been shown recently that data augmentation can be avoided if networks are structured such that feature representations are transformed the same way as the input, a desirable property called equivariance. In […]
*This will be a HYBRID Event with in-person attendance in Levine 307 and Virtual attendance via Zoom here… ABSTRACT With the maturing of AI and multiagent systems research, we have a tremendous opportunity to direct these advances towards addressing complex societal problems. I will focus on domains of public health and conservation, and address one key cross-cutting challenge: how to effectively deploy our […]
*This is a HYBRID Event with in-person attendance in Levine 307 and virtual attendance via Zoom. ABSTRACT Event cameras are novel vision sensors that mimic functions from the human retina and offer potential advantages over traditional cameras (low latency, high speed, high dynamic range, etc.). They acquire visual information in the form of pixel-wise brightness […]
For over 6,000 years, repairing high-strength metallic materials has required high temperatures and large energy inputs. Likewise, recent innovations in self-healing and repairable metals have remained limited by the need for heating, the small size of repairable cracks, and the low strength and constrained chemical composition of healed metals. While welding remains the most widely […]
Different from neuron-based computational intelligence through the brain, physical intelligence leverages structural designs and smart materials to physically encode sensing, actuation, control, adaption, and decision-making into the body of an agent. The stimuli-responsive body materials can enable autonomous sensory, actuation, powering, and other physical intelligence functions. The structural designs of soft body can simplify the […]
Refreshments served at 10:15 AM In this talk, I will describe theoretical and computational strategies based on quantum mechanical calculations, aimed at predicting material properties suitable for the development of quantum technologies. Specifically, I will discuss the electronic structure and coherent states of spin defects in two- and three-dimensional semiconductors and insulators, obtained using both classical […]
