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. […]
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 […]
*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 […]
*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 […]
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 […]
This seminar is for internal Penn students and faculty only. ABSTRACT An overview of Intellectual Property and a discussion on best practices for protecting your creations and ideas in […]
Abstract Sensing and actuation systems are entrusted with increasing intelligence to perceive the environment and react to it. Their reliability often relies on the trustworthiness of sensors. As process automation […]
"Utilizing Quantum Geometry and Topology for Enabling Integrated Chiral Photonics" Classical and quantum computing devices need to ferry vast amounts of data, and optical interconnects provide a promising approach allowing […]
Abstract: The relevant limit for machine learning is not N → infinity but instead N → 0. The human visual system is proof that it is possible to learn categories […]
