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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, we envision the next generation of robots (ranging from self-driving and -flying vehicles to robot assistants) to operate in unpredictable and generally unknown environments alongside […]

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.

Penn Engineering Doctoral Commencement Ceremony

Doors open for guest seating at 3:00 p.m.

CIS Seminar: ” Deep Learning for Network Biomedicine”

Abstract: Large datasets are being generated that can transform biology and medicine. New machine learning methods are necessary to unlock these data and open doors for scientific discoveries. In this talk, I will argue that, in order to advance science, machine learning models should not be trained in the context of one particular dataset. Instead, […]

CIS Seminar: “Towards a New Synthesis of Reasoning and Learning”

This talk discusses the role of logical reasoning in statistical machine learning. While their unification has been a long-standing and crucial open problem, automated reasoning and machine learning are still disparate fields within artificial intelligence. I will describe recent progress towards their synthesis in three facets. I start with a very practical question: how can […]

The Joy of Being Faculty: How to Apply for a Faculty Position

This professional development workshop is designed to provide Penn Engineering graduate students and postdocs with a richer understanding of what it is like to pursue a career in academia from those that have navigated the process successfully. Deputy Dean Kathleen J. Stebe (SEAS) will lead this extemporaneous panel discussions with a mix of both tenured […]

CIS Seminar: “Making Parallelism Pervasive with the Swarm Architecture”

Abstract: Parallelism is critical to achieve high performance in modern computer systems. Unfortunately, most programs scale poorly beyond a few cores, and those that scale well often require heroic implementation efforts. This is because current architectures squander most of the parallelism available in applications and are too hard to program. I will present Swarm, a […]

CIS Seminar: “Towards Human-Level Recognition via Contextual, Dynamic, and Predictive Representations”

Abstract: Existing state-of-the-art computer vision models usually specialize in single domains or tasks, while human-level recognition can be contextual for diverse scales and tasks. This specialization isolates different vision tasks and hinders deployment of robust and effective vision systems.  In this talk, I will discuss contextural image representations for different scales and tasks through the […]

CIS Seminar: “Improving Security at an Internet Scale: A Data-Driven Approach”

The state of security across the Internet is poor, and it has been so for years. Meanwhile, attacks have become ever more frequent and consequential. How do we actually make meaningful progress? To do so, we must move beyond the folklore that heavily influences Internet security practices today, and establish 1) empirical grounding on how […]

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