Technical - Partner Event
AI Seminar – Kiri Wagstaff
When
Feb. 26, 2021 - Feb. 26, 2021
12:00PM - 1:00PM MST
Where
Online
Online
Abstract: Current Mars surface exploration is primarily prescripted on a day-by-day basis. Mars rovers have a limited ability to autonomously select targets for follow-up study that match pre-defined target signatures. However, when exploring new environments, we are also interested in observations that differ from what previously has been seen. I will describe how Mars rovers can use novelty measures to help select observation targets with the goal of accelerating discovery. In addition, I will discuss the constraints imposed by operating 100 million miles from Earth with limited computational resources.
Presenter Bio: Dr. Kiri L. Wagstaff is a Principal Researcher in machine learning at NASA's Jet Propulsion Laboratory and an associate research professor at Oregon State University. Her research focuses on developing new machine learning methods for use onboard spacecraft and in data archives for planetary science, astronomy, cosmology, and more. She earned a Ph.D. in Computer Science from Cornell University followed by an M.S. in Geological Sciences and a Master of Library and Information Science (MLIS). She received the Lew Allen Award for Excellence in Research and two NASA Exceptional Technology Achievement Medals, and she is a Senior Member of the Association for the Advancement of Artificial Intelligence. She is passionate about keeping machine learning relevant to real-world problems.
The University of Alberta Artificial Intelligence (AI) Seminar is a weekly meeting where researchers (including students, developers, and professors) interested in AI can share their current research. Presenters include local speakers from the University of Alberta and industry as well as other institutions. The seminars discuss a wide range of topics related in any way to Artificial Intelligence, from foundational theoretical work to innovative applications of AI techniques to new fields and problems are of interest.Learn more at the AI Seminar website and by subscribing to the mailing list!
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