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CIS Seminar: “Engineering Approximate Computations”

  There’s a new ecosystem of applications that integrates machine learning into a variety of tasks. Typical domains have included image recognition and natural language processing. However, these techniques have also spread to computer systems domains, such as program compilation, resource scheduling, and database query optimization, yielding new computer systems that learn from data to achieve […]

CIS Seminar: “Recovering, manipulating and enhancing recorded speech (1905-2020)”

This talk will survey several recent projects dealing with recorded speech. The first explores an optical process for recovering sound recorded onto postcards using a forgotten technology from more than a century ago. This involves scanning the postcard at multiple orientations using a flatbed scanner, and then reconstructing the fine scale surface texture of the […]

CIS Seminar: “Embodied perception in-the-wild”

Computer vision is undergoing a period of rapid progress, rekindling the relationship between perception, action, and cognition. Such connections may be best practically explored in the context of autonomous robots. In this talk, I will discuss perceptual understanding tasks motivated by embodied robots “in-the-wild”, focusing on the illustrative case of autonomous vehicles. I will argue […]

Penn Engineering Class of 2020 Undergraduate and Master’s Graduate Recognition

Dean Vijay Kumar will address the Penn Engineering Class of 2020 undergraduate and master’s graduates and their loved ones. Join us to hear Dean Kumar’s address, view student photos, and watch congratulatory video messages submitted by students’ families and by Penn Engineering faculty and staff. Please visit this webpage to access the link to our […]

Penn Engineering Class of 2020 Doctoral Graduate Recognition

Join us to hear a message from the Dean of Penn Engineering, Dr. Vijay Kumar, and view a virtual roll call of the Class of 2020 doctoral graduates, complete with video messages from our graduates and members of the Penn Engineering faculty. The total run time of this virtual celebration is less than one hour. […]

Cancelled: CIS Seminar: “Harnessing the Power of People: Human-AI Interaction Design in Healthcare, Language, and Beyond”

Abstract: Some claim AI is the “new electricity” due to its growing significance and ubiquity. My research investigates this vision from an HCI perspective: How can we situate this remarkable technology in ways people perceive as valuable? How could we form a symbiotic relationship between AI systems and their users, to do things neither can […]

Cancelled CIS Seminar:” Harnessing the Power of People: Human-AI Interaction Design in Healthcare, Language, and Beyond”

Abstract: Some claim AI is the “new electricity” due to its growing significance and ubiquity. My research investigates this vision from an HCI perspective: How can we situate this remarkable technology in ways people perceive as valuable? How could we form a symbiotic relationship between AI systems and their users, to do things neither can […]

Cancelled: CIS Seminar:”New Compilation Techniques for Reconfigurable Analog Devices”

Abstract: Reconfigurable analog devices are a powerful new computing substrate especially appropriate for executing dynamical systems in an energy efficient manner. These devices leverage the physical behavior of transistors to directly implement computation. Under this paradigm, voltages and currents within the device implement continuously evolving variables in the computation. In this talk, I discuss compilation […]

Cancelled: CIS Seminar: “Deep Probabilistic Graphical Modeling”

Abstract: Deep learning (DL) is a powerful approach to modeling complex and large scale data. However, DL models lack interpretable quantities and calibrated uncertainty. In contrast, probabilistic graphical modeling (PGM) provides a framework for formulating an interpretable generative process of data and a way to express uncertainty about what we do not know. How can […]

Cancelled: CIS Seminar: “The Value Alignment Problem in Artificial Intelligence”

Abstract: Abstract: Much of our success in artificial intelligence stems from the adoption of a simple paradigm: specify an objective or goal, and then use optimization algorithms to identify a behavior (or predictor) that optimally achieves this goal. This has been true since the early days of AI (e.g., search algorithms such as A* that […]

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