Conferences, Lectures, & Seminars
Events for June
-
AI Seminar- ROBOTIC LABS AND SCIENCE AS A SERVICE
Thu, Jun 01, 2017 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Paul Groth, Elsevier Labs
Talk Title: ROBOTIC LABS AND SCIENCE AS A SERVICE
Series: Artificial Intelligence Seminar
Abstract: Paul is coauthor of Provenance: an Introduction to PROV and The Semantic Web Primer: 3rd Edition as well as numerous academic articles.
Robotic Labs, in which experiments are carried out entirely by robots, have the potential to provide a reproducible and transparent foundation for performing basic biomedical laboratory experiments. I discuss our recent work that uses text mining and qualitative analysis to provide indicators for that potential. I discuss some of the challenges faced in methods extraction that arise from this work . I will also sketch our thinking on the future of Science as a Service and the important role of AI will play it.
There will also be a chance at a prize.
Biography: Paul Groth is Disruptive Technology Director at Elsevier Labs. He holds a Ph.D. in Computer Science from the University of Southampton 2007 and has done research at the University of Southern California and the Vrije Universiteit Amsterdam. His research focuses on dealing with large amounts of diverse contextualized knowledge with a particular focus on web and science applications. This includes research in data provenance, data science, data integration and knowledge sharing.
Previously, he lead architecture development for the Open PHACTS drug discovery data integration platform. Paul was cochair of the W3C Provenance Working Group that created a standard for provenance interchange. At Elsevier, Paul continues his research line and helps the company understand new technologies and their applicability to building better infrastructure for scholarship.
Paul is coauthor of Provenance: an Introduction to PROV and The Semantic Web Primer-3rd Edition as well as numerous academic articles.
Host: Gully Burns
More Info: http://thinklinks.wordpress.com
Webcast: http://webcastermshd.isi.edu/Mediasite/Play/2c6c4d22b81544f5a7f7ae5ecdad9aaf1dLocation: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey
WebCast Link: http://webcastermshd.isi.edu/Mediasite/Play/2c6c4d22b81544f5a7f7ae5ecdad9aaf1d
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://thinklinks.wordpress.com
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
Fri, Jun 09, 2017 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Dmitri Williams, USC Annenberg School for Communication
Talk Title: TAMING AND TRAINING SOCIAL DRAGONS COMBINING BIG DATA WITH SOCIAL SCIENCE IN GAMES AND BEYOND
Abstract: Organizations are hungry to leverage their data but often confused about where to begin. Most dont have theoretical frameworks or an understanding of how to apply the results in their workflow and systems. At the same time, the potential and demand for harnessing these data especially on networks and relationships have never been greater. In this talk, I will share a new technique and metric for using these data to measure the impact of people on each other for a range of applications. Validation and tests of the measure come from field work covering nearly a billion consumers, viewers, and players.
Biography: Dmitri Williams is an associate professor at the USC Annenberg School for Communication and Journalism. His research focuses on the social and economic impacts of new media, with a focus on online games. Williams was the first researcher to use online games for experiments and to undertake longitudinal research on them. He continues to study the psychology of online populations, with projects involving community, identity, sexuality, economics and machine learning. He is also the President of Ninja Metrics, a university startup focusing on big data. His work has been featured on NPR, CNN, Fox, NBC and CBS, as well as in the Economist, the New York Times, and other outlets.
Host: Mayank Kejriwal
Location: Information Science Institute (ISI) - 11th floor large conference room
Audiences: Everyone Is Invited
Contact: Kary Lau
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-Introduction to Graph Signal Processing:Tools for Harmonic Analysis on Irregular Structures
Fri, Jun 09, 2017 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Benjamin Girault , USC
Talk Title: Introduction to Graph Signal Processing: Tools for Harmonic Analysis on Irregular Structures
Series: Natural Language Seminar
Abstract: Abstract: During the past few years, graph signal processing has been extending the field of signal processing on Euclidean spaces to irregular spaces represented by graphs. We have seen successes ranging from the Fourier transform, to wavelets, vertex-frequency time frequency decomposition, sampling theory, uncertainty principle, or convolutive filtering. This presentation introduces the field, the type of signals involved, and how harmonic analysis is performed.
Biography: Benjamin Girault received his License B.Sc. and his Master M.Sc. in France from Ecole Normale Supérieure de Cachan, France, in 2009 and 2012 respectively in the field of theoretical computer science. He then received his PhD in computer science from Ecole Normale Supérieure de Lyon, France, in December 2015. His dissertation entitled Signal Processing on Graphs Contributions to an Emerging Field" focuses on extending the classical definition of stationary temporal signals to stationary graph signal. Currently, he is a postdoctoral scholar with Professors Antonio Ortega and Shri Narayanan at the University of Southern California continuing his work on graph signal processing with a focus on applying these tools to understanding human behavior.
Host: Marjan Ghazvininejad and Kevin Knight
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 6th Flr Conf Rm -# 689
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
Wed, Jun 14, 2017 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Eran Hadas, Cal Tech
Talk Title: COMPUTATIONAL LITERATURE: HOW CAN A COMPUTER GENERATE LITERARY TEXT?
Abstract: This talk will provide an introduction to Computational literature as an intersection between Natural Language Processing and Computational (Artificial) Creativity. It will feature examples of computer-generated texts, and showcase some rule-based, statistical and neural network based techniques.
Biography: Eran Hadas is an Israeli poet, software developer, and new media artist, the author of seven books. He creates hypermedia poetry and develops software-based poetry generators. Among his collaborative projects are a headset that generates poems from brainwaves, and a documentarian robot that interviews people about the meaning of being human. Hadas is a visiting scholar at Caltech, where he is teaching Computational Literature.
Host: Mayank Kejriwal
Webcast: http://webcastermshd.isi.edu/Mediasite/Play/111124490ef14024881e149e572c1Location: Information Science Institute (ISI) - 11th floor large conference room
WebCast Link: http://webcastermshd.isi.edu/Mediasite/Play/111124490ef14024881e149e572c1
Audiences: Everyone Is Invited
Contact: Kary LAU
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 - From Noisy Information Extraction to Rich Information Retrieval in Unusual Domains
Fri, Jun 16, 2017 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Mayank Kejriwal, USC/ISI
Talk Title: From Noisy Information Extraction to Rich Information Retrieval in Unusual Domains
Series: Natural Language Seminar
Abstract: Information Extraction IE or the algorithmic extraction of named entities, relations and attributes of interest from text-rich data is an important natural language processing task. In this talk, I will discuss the relationship of IE to fine-grained Information Retrieval IR, especially when the domain of interest is unusual i.e. computationally under-studied, socially consequential and difficult to analyze. In particular, such domains exhibit a significant long-tail effect, and their language models are obfuscated. Using real-world examples and results obtained in recent DARPA MEMEX evaluations, I will discuss how our search system uses semantic strategies to usefully facilitate complex information needs of investigative users in the human trafficking domain, even when IE outputs are extremely noisy. I briefly report recent results obtained from a user study conducted by DARPA, and the lessons learned thereof for both IE and IR research.
Biography: Mayank Kejriwal is a computer scientist in the Information integration group at ISI. He received his Ph.D. from the University of Texas at Austin under Daniel P. Miranker. His dissertation involved domain-independent linking and resolving of structured Web entities at scale, and was published as a book in the Studies in the Semantic Web series. At ISI, he is involved in the DARPA MEMEX, LORELEI and D3M projects. His current research sits at the intersection of knowledge graph construction, search, inference and analytics, especially over Web corpora in unusual social domains.
Host: Marjan Ghazvininejad and Kevin Knight
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
Fri, Jun 23, 2017 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Kiri Wagstaff, JPL
Talk Title: Mining Mars Targets from the Planetary Science Literature
Abstract: Every day, rovers on Mars send back data for new observation targets (e.g., rocks, soils, layers). Some of these targets yield new discoveries that are published in the scientific literature. Yet there is currently no accessible link between data (or targets) and their subsequent publications. We are building the Mars Target Encyclopedia (MTE) to enable users to ask questions such as "What do we know about target Epworth?" and "What are all of the Mars targets that contain chlorine?" We use information extraction and machine learning methods to mine the steadily growing body of scientific publications and extract compositional knowledge about Mars surface targets. The MTE benefits Mars mission planners, planetary scientists, and the interested public by condensing relevant knowledge into a central resource in an accessible way. More than just a literature search, the MTE allows us to ask new questions that previously could not be answered.
Biography: Dr. Kiri L. Wagstaff is a principal researcher in artificial intelligence and machine learning and a tactical uplink lead 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, and rovers. She holds a Ph.D. in Computer Science from Cornell University followed by an M.S. in Geological Sciences from the University of Southern California and an MLIS from San Jose State University. 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.
Host: Mayank Kejriwal
Webcast: http://webcastermshd.isi.edu/Mediasite/Play/1b4d78b79cb3438d8b67b5129a5b3f3b1dLocation: Information Science Institute (ISI) - 11th floor large conference room
WebCast Link: http://webcastermshd.isi.edu/Mediasite/Play/1b4d78b79cb3438d8b67b5129a5b3f3b1d
Audiences: Everyone Is Invited
Contact: Kary LAU
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.
