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Events for February 22, 2022
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CS Colloquium: Siddharth Srivastava (Arizona State University) - Principles and Algorithms for Data-Efficient Assistive Sequential Decision Making
Tue, Feb 22, 2022 @ 01:00 PM - 02:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Siddharth Srivastava, Arizona State University
Talk Title: Principles and Algorithms for Data-Efficient Assistive Sequential Decision Making
Series: Computer Science Colloquium
Abstract: Can we balance efficiency and reliability while designing assistive AI systems? What would such AI systems need to provide? In this talk I will present some of our recent work addressing these questions. In particular, I will show that a few fundamental principles of abstraction are surprisingly effective in designing efficient and reliable AI systems that can plan and act over multiple timesteps. Our results show that abstraction mechanisms are invaluable not only in improving the efficiency of sequential decision making, but also in developing AI systems that can explain their own behavior to non-experts, and in computing user-interpretable assessments of the limits and capabilities of Black-Box AI systems. I will also present some of our work on learning the requisite abstractions in a bottom-up fashion. Throughout the talk I will highlight the theoretical guarantees that our methods provide along with results from empirical evaluations featuring decision-support/digital AI systems and physical robots.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Join Zoom Meeting
https://usc.zoom.us/j/99395482251
Meeting ID: 993 9548 2251
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Host: Sven Koenig
Webcast: https://usc.zoom.us/j/99395482251Location: Online - Zoom
WebCast Link: https://usc.zoom.us/j/99395482251
Audiences: Everyone Is Invited
Contact: Computer Science Department
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CS Distinguished Lecture: Hod Lipson (Columbia University) - Automating discovery: From cognitive robotics to particle physics
Tue, Feb 22, 2022 @ 04:00 PM - 05:20 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Hod Lipson, Columbia University
Talk Title: Automating discovery: From cognitive robotics to particle physics
Series: Computer Science Distinguished Lecture Series
Abstract: Can machines discover scientific laws automatically? Despite the prevalence of big data, the process of distilling data into scientific laws has resisted automation. Particularly challenging are situations with small amounts of data that is difficult or expensive to collect. This talk will outline a series of recent research projects, starting with self-reflecting robotic systems, and ending with machines that can formulate hypotheses, design experiments, and interpret the results, to discover new scientific laws. We will see examples from psychology to cosmology, from classical physics to modern physics, from big science to small science.
Register in advance for this webinar at:
https://usc.zoom.us/webinar/register/WN_kYlG0b5QS3OShAvhHwF1hg
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Hod Lipson is a professor of Engineering at Columbia University in New York, and a co-author of the award winning book "Fabricated: The New World of 3D printing", and "Driverless: Intelligent cars and the road ahead". His work on self-aware and self-replicating robots challenges conventional views of robotics, and his TED talk on self-aware machines is one of the most viewed presentations on AI. Lipson directs the Creative Machines Lab, which pioneers new ways to make machines that create, and machines that are creative. For more information visit http://hodlipson.com
Host: Stefanos Nikolaidis
Webcast: https://usc.zoom.us/webinar/register/WN_kYlG0b5QS3OShAvhHwF1hgLocation: Online - Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_kYlG0b5QS3OShAvhHwF1hg
Audiences: Everyone Is Invited
Contact: Computer Science Department
