Cancelled: CIS Seminar:”New Compilation Techniques for Reconfigurable Analog Devices”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

Abstract: Reconfigurable analog devices are a powerful new computing substrate especially appropriate for executing dynamical systems in an energy efficient manner. These devices leverage the physical behavior of transistors to directly implement computation. Under this paradigm, voltages and currents within the device implement continuously evolving variables in the computation. In this talk, I discuss compilation […]

Cancelled: CIS Seminar: “Harnessing the Power of People: Human-AI Interaction Design in Healthcare, Language, and Beyond”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

Abstract: Some claim AI is the “new electricity” due to its growing significance and ubiquity. My research investigates this vision from an HCI perspective: How can we situate this remarkable technology in ways people perceive as valuable? How could we form a symbiotic relationship between AI systems and their users, to do things neither can […]

Cancelled CIS Seminar:” Harnessing the Power of People: Human-AI Interaction Design in Healthcare, Language, and Beyond”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

Abstract: Some claim AI is the “new electricity” due to its growing significance and ubiquity. My research investigates this vision from an HCI perspective: How can we situate this remarkable technology in ways people perceive as valuable? How could we form a symbiotic relationship between AI systems and their users, to do things neither can […]

ESE Seminar: “Skin Interfaced Wearable Sweat Biosensors”

Zoom - Email ESE for Link jbatter@seas.upenn.edu

Abstract: The rising research interest in personalized medicine promises to revolutionize traditional medical practices. This presents a tremendous opportunity for developing wearable devices toward predictive analytics and treatment. In this talk, I will introduce our recent advances in developing fully-integrated skin-interfaced flexible biosensors for non-invasive molecular analysis. Such wearable biosensors can continuously, selectively, and accurately […]

CIS Seminar: “Embodied perception in-the-wild”

Zoom - Email CIS for link cherylh@cis.upenn.edu

Computer vision is undergoing a period of rapid progress, rekindling the relationship between perception, action, and cognition. Such connections may be best practically explored in the context of autonomous robots. In this talk, I will discuss perceptual understanding tasks motivated by embodied robots "in-the-wild", focusing on the illustrative case of autonomous vehicles. I will argue […]

ESE Seminar: “Electrical Digestive Engineering”

Zoom - Email ESE for Link jbatter@seas.upenn.edu

Gastrointestinal (GI) problems are the second leading cause for missing work or school after the common cold, giving rise to 10 percent of the reasons a patient visits their physician and costing $142 billion annually.  Although obstructions and infections are easy to diagnose, more than half of GI disorders involve abnormal functioning of the GI […]

ESE Seminar: “Evolutionary Adaptations and Spreading Processes in Complex Networks”

Zoom - Email ESE for Link jbatter@seas.upenn.edu

A common theme among many models for spreading processes in networks is the assumption that the propagating object (e.g., a pathogen, in the context of infectious disease propagation, or a piece of information, in the context of information propagation) is transferred across network nodes without going through any modification. However, in real-life spreading processes, pathogens […]

PICS Seminar: “Fusing machine learning and atomistic simulations for materials design”

Zoom - email kathom@seas.upenn.edu

Data-driven approaches match or outperform humans at a number of tasks, including pattern recognition in images and text or planning and strategy in rule-based games. The application of machine learning techniques is also promising for accelerating materials design. However, experimental data for training is typically scarce and sparse. The interplay between physics-based simulations and data-driven […]