AI Across the Care Spectrum: From Bench to Bed (Webinar)
Join Penn AI on June 18 @ 2PM for an exciting webinar exploring how artificial intelligence is transforming every corner of healthcare—from dental exams to home care, medical imaging to […]
Join Penn AI on June 18 @ 2PM for an exciting webinar exploring how artificial intelligence is transforming every corner of healthcare—from dental exams to home care, medical imaging to […]
Soft robotic systems, defined as both compliant robotic platforms and mechanically adaptive structures, offer unique advantages such as safe human-machine interaction, structural flexibility, and environment-driven reconfigurability. By relying on deformable […]
Robots are complex, high-dimensional systems, governed by nonlinear, underactuated dynamics and evolving on non-Euclidean manifolds, posing numerous challenges for control synthesis and analysis. While optimization-based methods of control can flexibly […]
Understanding how marine animals migrate is critical for assessing the impacts of climate change on ocean ecosystems—and yet current Autonomous Underwater Vehicles (AUVs), with their noisy propellers and rigid hulls, […]
Emerging edge AI systems call for device-level approaches that are inherently low-power, secure, and capable of managing uncertainty. In this talk, I will share our recent exploratory efforts toward realizing […]
Disabilities related to aging and stroke impact functional independence and quality of life for millions of older adults, creating a growing need for scalable, accessible rehabilitation solutions. Community-based robotic therapy […]
This is a virtual event ONLY with attendance via Zoom. ABSTRACT The talk will introduce several topics in low-resource and multilingual NLP – in the domain of disinformation combatting, through […]
Affecting roughly 2 in 1000 infants in the USA, Cerebral Palsy (CP) is the most common cause of motor impairment in children. CP has no cure, but motor therapy is […]
Spin lattice dynamics (SLD) modeling is an approach to modeling magnetic interactions at the nanoscale. Current spin lattice dynamics models do not model magnetoelastic effects well, giving non-physical lattice parameters […]
Extracting Knowledge Priors from Scientific Texts for De Novo Molecular Design This talk will explore a large-scale effort to exploit the natural-language understanding capabilities of large language models in order […]