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GRASP on Robotics: Volkan Isler, University of Minnesota, “From Surveying Farms to Tidying our Homes with Robots”

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

For decades, the robotics community has been working on developing intelligent autonomous machines that can perform complex tasks in unstructured environments. We are now closer than ever to delivering on this promise. Robotic systems are being developed, tested and deployed for a wide range of applications. In this talk, I will present our work on […]

MEAM Seminar: “Understanding Particulate Soft Materials: An Integrated Approach for Novel Energy and Environmental Solutions”

Zoom - Email MEAM for Link peterlit@seas.upenn.edu

Many industrial processes involve multiphase soft materials in which solid particles are dispersed or co-exists with a fluid phase and are therefore referred to as Particulate Soft Materials (PSMs). Examples can be found in many industries, including food, cosmetics, pharmaceutical, and energy, as well as in natural settings, e.g., soils and glaciers. PSMs often display […]

ESE Spring Colloquium – “Towards Fair and Efficient Machine Learning with Large Models”

Raisler Lounge (Room 225), Towne Building 220 South 33rd Street, Philadelphia, PA, United States

Deep networks often achieve better accuracy as we employ larger models. However, modern machine learning applications involve multiple considerations alongside accuracy, such as resource-efficiency, robustness, or fairness. Deploying ML in the real-world requires sound solutions addressing these considerations. In this talk, I will first discuss optimizing fairness objectives for imbalanced data. We observe that a […]

CIS Seminar: “Modern Fine-grained Algorithms for Classic Problems”

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

This talk will be held on Zoom as well
https://upenn.zoom.us/j/92928358554?pwd=MWdDU0lJRmE3U0hDWUdmU284UmNGZz09
Meeting ID: 929 2835 8554 Passcode: 488035

ESE Spring Colloquium – “Quantum Many-Body Physics in the NISQ Era”

Raisler Lounge (Room 225), Towne Building 220 South 33rd Street, Philadelphia, PA, United States

Rapid progress in quantum computing technologies is ushering in a new era for quantum many-body physics. Today's noisy, intermediate-scale quantum (NISQ) devices, while still far from fault-tolerant quantum computers, are exceptional laboratory systems, with large many-body Hilbert spaces and unprecedented capabilities for control and measurement. This allows the exploration of quantum dynamics in new far-from-equilibrium […]

Spring 2022 GRASP SFI: Marc Finzi, New York University, “Embedding Symmetries and Conservation Laws in Deep Learning Models for Dynamical Systems”

Levine 512

*This will be a HYBRID Event with in-person attendance in Levine 512 and Virtual attendance via Zoom In contrast to traditional control systems where detailed dynamics models are constructed from a mix of physical understanding and empirical data, machine learning for intuitive physics, reinforcement learning, and robotics often takes a hands off approach treating the dynamics […]

CBE Seminar: “Beyond Ethanol: A Process and Systems Engineering Framework for the Design of Advanced Biofuels”

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

Abstract In my talk, I will present my work on the application of process and systems engineering techniques to the design of integrated biorefineries that produce middle distillates (jet fuel and diesel). Unlike gasoline, demand for middle distillates is expected to increase over the next 30 years, and electrification and decarbonization of sectors where middle […]

ESE Spring Colloquium – “Provably Robust Algorithms for Prediction and Control”

Zoom - Meeting ID 958 3045 4776

Feedback-driven decision-making systems are at the emerging frontier of machine learning applications. Upcoming applications of societal consequence, such as self-driving vehicles and smartwatch-based health interventions, have to contend with the challenge of operating in reactive stateful environments. In this talk, I will describe my work on designing principled robust algorithms for feedback-driven learning, with provable […]