SUNMONTUEWEDTHUFRISAT
Events for December 06, 2013
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AI Seminar- Yolanda Gil: "Discovery Informatics: Intelligent Systems for Science Innovation"
Fri, Dec 06, 2013 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Yolanda Gil, Information Sciences Institute and Department of Computer Science - USC
Talk Title: "Discovery Informatics: Intelligent Systems for Science Innovation"
Series: Artificial Intelligence Seminar
Abstract: Although recent advances in computing have resulted in a data-centered revolution in science practice, I believe it will be dwarfed by what is ahead. While orders of magnitude improvements in network bandwidth, computing, and distributed sensing are pushing the envelope in the scale of the scientific phenomena that can be studied, the human component of science has been largely unaddressed and is increasingly becoming a bottleneck to progress. Scientists still largely drive scientific processes but it is increasingly challenging to manage the scale and complexity of modern discovery processes. This has created great opportunities for artificial intelligence to make scientific processes more efficient and to break new barriers in the complexity of the problems that can be tackled. In this talk, I will describe our current research on intelligent workflow systems that provide assistance and automation for complex data analysis processes. I will illustrate new capabilities that are enabled by coupling semantic representations of processes and data. I will describe our work on semantic workflow systems to assist scientists to create valid workflows, and to automate workflow generation given high-level user guidance. Semantic workflows are an example of provenance-aware infrastructure for science, where metadata is used and generated as the data is being processed. I will discuss our new work on organic data science, where communities of scientists can describe data analysis processes explicitly as a platform for collaboration. I will also introduce the nascent discipline of Discovery Informatics that is catalyzing relevant research in artificial intelligence, visualization, data analytics, and social computing with the goal of improving and innovating science processes to accelerate discoveries.
Biography: Dr. Yolanda Gil is Director of Knowledge Technologies at the Information Sciences Institute of the University of Southern California, and Research Professor in the Computer Science Department. She received her M.S. and Ph. D. degrees in Computer Science from Carnegie Mellon University. Her research interests include intelligent user interfaces, knowledge-rich problem solving, and social knowledge collection. Her most recent work focuses on intelligent workflow systems to support collaborative data analytics at scale. She recently led the W3C Provenance Group that charted a community standardization effort in this area. She was elected Fellow of the American Association of Artificial Intelligence (AAAI) in 2012. She is Chair of ACM SIGART, the Association for Computing Machinery's Special Interest Group on Artificial Intelligence.
WEB SITE:
http://www.isi.edu/~gil
Host: David Chiang
More Info: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=641f42b948ed4a129c7e2ddfe3ef011b1d
Webcast: TBALocation: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey
WebCast Link: TBA
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=641f42b948ed4a129c7e2ddfe3ef011b1d
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
NL Seminar- Shiwali Mohan: "Learning Hierarchical Tasks from Situated Interactive Instruction"
Fri, Dec 06, 2013 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Shiwali Mohan, University of Michigan
Talk Title: "Learning Hierarchical Tasks from Situated Interactive Instruction"
Series: Natural Language Seminar
Abstract: Our research aims at building interactive robots and agent that can expand their knowledge by interacting with human users. In this talk, I will give an overview of our ongoing work on learning novel tasks from linguistic, mixed-initiative instructions. The first part of the talk will address the problems of situated language comprehension for cognitive agents in real-world environments. The second part will focus on task learning. I will discuss the knowledge representations we employ to represent hierarchical, goal-oriented tasks and how this knowledge can be learned from interactions using an explanation-based learning framework.
Biography: Shiwali Mohan is a Ph.D. candidate in the department of Computer Science and Engineering at the University of Michigan, Ann Arbor. Her research interests include situated language, interactive learning, and cognitive systems.
Homepage: http://www.shiwali.me/
Host: Yang Gao
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
AI Seminar-Kiri Wagstaff: "Automated data prioritization and explanation for scientific discovery of Martian minerals, exoplanets, and more"
Fri, Dec 06, 2013 @ 11:00 PM - 01:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Kiri Wagstaff, Jet Propulsion Laboratory-NASA
Talk Title: "Automated data prioritization and explanation for scientific discovery of Martian minerals, exoplanets, and more"
Series: Artificial Intelligence Seminar
Abstract: Inundated by terabytes of data flowing from telescopes, microscopes, DNA sequencers, etc., scientists in various disciplines have a need for automated methods for prioritizing data for review. Which observations are most interesting or unusual, and why?
I will describe DEMUD (Discovery by Eigenbasis Modeling of Uninteresting Data), which iteratively prioritizes items from large data sets to provide a diverse traversal of interesting items. By modeling what the user already knows and/or has already seen, DEMUD can focus attention on the unexpected, facilitating new discoveries. Uniquely, DEMUD also provides a domain-relevant explanation for each selected item that indicates why it stands out. DEMUD's explanations offer a first step towards automated interpretation of scientific data discoveries.
We are using DEMUD in collaboration with scientists from the Mars Science Laboratory, the Mars Reconnaissance Orbiter, the Kepler exoplanet telescope, Earth orbiters, and more. It provides scalable performance, interpretable output, and new insights into very large data sets from diverse disciplines.
This is joint work with James Bedell, Nina L. Lanza, Tom G. Dietterich, Martha S. Gilmore, and David R. Thompson.
Biography: Kiri L. Wagstaff is a senior researcher in artificial intelligence and machine learning and a tactical activity planner for the Mars rover Opportunity at the Jet Propulsion Laboratory. Her research focuses on developing new machine learning and data analysis methods, particularly those that can be used for in situ analysis onboard spacecraft such as orbiters, landers, rovers, and so on. She holds a Ph.D. in Computer Science from Cornell University and an M.S. in Geological Sciences from the University of Southern California. She received a 2008 Lew Allen Award for Excellence in Research for work on the sensitivity of machine learning methods to high-radiation space environments and a 2012 NASA Exceptional Technology Achievement award for work on transient detection methods in radio astronomy data. She is passionate about keeping machine learning relevant to real-world problems and is co-editing a special issue of the Machine Learning journal on Machine Learning for Science and Society.
http://www.wkiri.com/
Host: Yolanda Gil
Location: 11th Flr Conf Rm # 1135, Marina Del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
