Penn Engineering Events

Events Search and Views Navigation

Event Views Navigation

Today

Fall 2022 GRASP on Robotics: Victoria Webster-Wood, Carnegie Mellon University, “It’s Alive! Bioinspired and biohybrid approaches towards life-like and living robots”

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

This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. ABSTRACT Animals have long served as an inspiration for robotics. However, the adaptability, complex control, and advanced learning capabilities observed in animals are not yet fully understood, and therefore have not been fully captured by current robotic systems. Furthermore, […]

PICS Colloquium, “Sound Attenuation and the Vibrational Properties of Glasses”

PICS Conference Room 534 - A Wing , 5th Floor 3401 Walnut Street, Philadelphia, PA, United States

Abstract: Understanding of the universal low-temperature properties of glasses and why they differ from their crystalline counterparts requires the understanding of the vibrational properties of glasses. Due to recent advances of computational techniques, we are now able to study simulated glasses with a wide range of vibrational properties, which is essential to understanding their role […]

P.E.S.T.L.E. Orientation – October 14

https://upenn.zoom.us/j/96715197752

Join PESTLE for our Zoom Orientation session on Friday, October 14 at 4:00 pm! Please email us at pestle@seas.upenn.edu if you have any questions.

MEAM Seminar: “Exergy-based Methods as a Promising Modern Thermodynamic Evaluation and Optimization Tool”

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

Exergy-based methods are powerful tools for developing, evaluating, understanding, and improving energy conversion systems. In addition to conventional methods, advanced exergy-based analyses consider (a) the interactions among components of the overall system, and (b) the real potential for improving each important system component. The main role of an advanced analysis is to provide energy conversion […]

CIS Seminar: “Equilibrium Complexity and Deep Learning”

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

Deep Learning has recently made significant progress in learning challenges such as speech and image recognition, automatic translation, and text generation, much of that progress being fueled by the success of gradient descent-based optimization methods in computing local optima of non-convex objectives. From robustifying machine learning models against adversarial attacks to causal inference, training generative models, multi-robot interactions, […]

ASSET Seminar: New approaches to detecting and adapting to domain shifts in machine learning, Zico Kolter, Ph.D. (Carnegie Mellon University)

Levine 307 3330 Walnut Street, Philadelphia, PA, United States

ABSTRACT: Machine learning systems, in virtually every deployed system, encounter data from a qualitatively different distribution than what they were trained upon.  Effectively dealing with this problem, known as domain shift, is thus perhaps the key challenge in deploying machine learning methods in practice.  In this talk, I will motivate some of these challenges in […]

Fall 2022 GRASP SFI: Srinath Sridhar, Brown University, “Learning to Generate, Edit, and Arrange 3D Shapes”

Levine 307 3330 Walnut Street, Philadelphia, PA, United States

This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. ABSTRACT In computer vision and robotics, we often need to deal with 3D objects. For instance, we may want to generate instances of 3D chairs, edit the generated chairs using natural language instructions, or arrange them in a canonical […]

CIS Seminar: “Rater Equivalence: An Interpretable Measure of Classifier Accuracy Against Human Labels”

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

In many classification tasks, the ground truth is either noisy or subjective. Examples of noisy ground truth include: does this radiology image show a cancerous growth? does this radar data portend an imminent tornado? Examples of subjective ground truth include: which of two alternative paper titles is better? is this comment toxic? what is the […]

MSE Seminar: “What Governs Grain Boundary Migration?”

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

Curvature is the common driving force for grain boundary motion in all polycrystals. However, models and simulations derived from curvature-based motion cannot predict irregular, albeit commonly observed, grain growth behavior. To build better predictive models, we need to employ new tools to understand what governs grain growth. First, I will demonstrate how high energy x-ray […]