ESE Seminar: “2D Materials for Unconventional Devices: From Flexible/Wearable Tattoo Sensors to Monolayer Memory”
Abstract: This talk will present our latest research adventures on 2D nanomaterials towards greater scientific understanding and advanced engineering applications. In particular the talk will highlight our work on flexible […]
ESE & Statistics Seminar: “Large Neural Networks: Insights from Linearized Models”
Abstract: Modern machine learning models, and in particular multilayer neural networks, exhibit a broad range of puzzling phenomena. Their training requires to minimize a highly non-convex high-dimensional cost function, and […]
MEAM Seminar: “Machine Learning for Robotics: Achieving Safety, Performance and Reliability by Combining Models and Data in a Closed-Loop System Architecture”
The ultimate promise of robotics is to design devices that can physically interact with the world. To date, robots have been primarily deployed in highly structured and predictable environments. However, […]
ESE Seminar: “Caching and Coding in Networks: Rate Efficiency, Age Efficiency”
Caching is of primary importance in the Internet-of-Things (IoT) and in particular in information-centric network (ICN) architectures where the focal point is content rather than where it can be retrieved […]
Penn Engineering Undergraduate Commencement Ceremony
Doors open for guest seating at 1:30 p.m. Access livestream here.
Penn Engineering Master’s Commencement Ceremony
Doors open for guest seating at 3:00 p.m. Access livestream here.
ESE Seminar: ERI: Creating Inflections in the Trajectory of Semiconductors
The government is spending 1.5 billion dollars over 5 years to create a more secure, specialized and highly automated electronics industry. This talk will describe the current programs and the […]
ESE Seminar: “Connecting Bits to the Physical World”
Analog, RF and power integrated circuits are the key connectors between the physical world and the digital or cyber world. In this talk I will give my perspective on broader […]
ESE & GRASP Seminar: “Efficient Computing for AI and Robotics”
Computing near the sensor is preferred over the cloud due to privacy and/or latency concerns for a wide range of applications including robotics/drones, self-driving cars, smart Internet of Things, and […]