September 9, 2026
Distribution shift, i.e. a change in the distribution of input/output data between training and test time, remains an enduring challenge in modern ML. In practice, methods to improve robustness of […]
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CBE Seminar Series: “Biology by Design: From Directed Evolution to Autonomous Experimentation” (Huimin Zhao, UIUC)
September 9, 2026
Abstract: Synthetic biology aims to apply engineering principles to design novel or improved biological systems for a wide range of biotechnological and biomedical applications. However, due to the complexity of […]
Read MoreMEAM Seminar: “Engineering High-Fidelity Artificial Hearts: From Actuator Mechanics to Anisotropic Embedded 3D Printing”
September 10, 2026
The development of a fully engineered artificial heart capable of replicating natural cardiac function remains a critical clinical and engineering challenge. Current artificial heart prototypes are still far from replicating […]
Read MoreMSE Seminar: “Tuning the Dielectric Constant of Polymeric Materials with Zwitterions”
September 10, 2026
Advances in capacitors, batteries, actuators, ion-transport membranes, sensors and triboelectric nanogenerators require materials with high dielectric constants (εs). Synthesis of high εs soft materials is currently approached by three methods: […]
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3 events found.
Events for October 2, 2024
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ASSET Seminar: “Towards Pluralistic Alignment: Foundations for Learning from Diverse Human Preferences”
Abstract: Large pre-trained models trained on internet-scale data are often not ready for safe deployment out-of-the-box. They are heavily fine-tuned and aligned using large quantities of human preference data, usually […]
Fall 2024 GRASP SFI: Tony Samaritano, Verge Aero, “Building the Drone Show Industry”
This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT In this talk, I will discuss how we engineered the foundation of […]
CBE Seminar: “Filling the Gaps of Machine Learning Workflows in the Molecular Sciences” (Yamil Colón, University of Notre Dame)
Abstract: One of the main challenges in the molecular sciences is identifying promising candidates for a target application given the virtually limitless number of possibilities. Computer simulations and machine learning […]