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Conferences, Lectures, & Seminars
Events for September
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Seminar: The USC School of Advanced Computing
Thu, Sep 12, 2024 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Gaurav S. Sukhatme, Professor, Computer Science and Electrical Computer Engineering at USC
Talk Title: The USC School of Advanced Computing
Abstract: Dr. Sukhatme will describe plans on the newly announced USC School of Advanced Computing and its place within the wider USC initiative on Frontiers of Computing.
Biography: Gaurav S. Sukhatme is Professor of Computer Science and Electrical and Computer Engineering at the University of Southern California (USC) and an Amazon Scholar. He is the Director of the USC School of Advanced Computing and the Executive Vice Dean of the USC Viterbi School of Engineering. He holds the Donald M. Aldstadt Chair in Advanced Computing at USC. He was the Chairman of the USC Computer Science department from 2012-17. He received his undergraduate education in computer science and engineering at IIT Bombay and his M.S. and Ph.D. degrees in computer science from USC. Sukhatme is the co-director of the USC Robotics Research Laboratory and the USC Robotic Embedded Systems Laboratory director. His research interests are in networked robots, learning robots, and field robotics. He has published extensively in these and related areas. Sukhatme has served as PI on numerous NSF, DARPA, and NASA grants. He was a Co-PI on the Center for Embedded Networked Sensing (CENS), an NSF Science and Technology Center. He is a Fellow of the AAAS, AAAI, and the IEEE, a recipient of the NSF CAREER award, the Okawa Foundation research award, and an Amazon research award. He is one of the founders of the Robotics: Science and Systems conference. He was the program chair of the 2008 IEEE International Conference on Robotics and Automation and the 2011 IEEE/RSJ International Conference on Robots and Systems. He is currently the Editor-in-Chief of Autonomous Robots (Springer Nature) and has served in the past as Associate Editor of the IEEE Transactions on Robotics and Automation, the IEEE Transactions on Mobile Computing, and on the editorial board of IEEE Pervasive Computing.
Host: Craig Knoblock
More Info: https://www.isi.edu/events/5111/Seminar:-The-USC-School-of-Advanced-Computing/
Location: Information Science Institute (ISI) - 1135/1137
Audiences: Everyone Is Invited
Contact: Tricia Olmedo
Event Link: https://www.isi.edu/events/5111/Seminar:-The-USC-School-of-Advanced-Computing/
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-How Far Are We from Achieving AI Automation in the Digital World?
Fri, Sep 13, 2024 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Shuyan Zhou, Duke University
Talk Title: How Far Are We from Achieving AI Automation in the Digital World?
Abstract: For years, my dream has been to create autonomous AI agents capable of carrying out tedious procedural tasks (e.g., arranging conference travel), allowing me to focus on more creative and exciting tasks. Modern AI models, especially large language models (LLMs) like ChatGPT, have suddenly brought us much closer to achieving such AI agents. But, has my dream already come true? In this talk, I will answer this question by delving into our systematic evaluation of AI agents in realistic tasks. The evaluation uncovers many critical limitations of AI agents, such as tool use, abstract reasoning, and knowledge cutoff. It suggests that LLMs are crucial yet early steps towards AI autonomy. To address these challenges, I will introduce our research of a more suitable “language” for AIs, which overcomes the inherent limitations of using natural language for task solving. Finally, I will discuss how to leverage the vast human-authored knowledge available on the Internet more effectively to better equip agents to perform complex tasks autonomously. Zoom Meeting ID: 930 3528 9629Meeting Password: 911619
Biography: Shuyan Zhou is an incoming Assistant Professor at the Computer Science Department at Duke University in Fall 2025. She is currently a researcher at Meta GenAI. She received her Ph.D. from Carnegie Mellon University, where she was advised by Graham Neubig. Her research in AI focuses on creating AI agents for real-world tasks, such as using computers and generating code. Her work has been recognized at top natural language processing and machine learning conferences and journals such as ICLR, ICML, ACL, EMNLP, and TACL. You can find more about her at https://shuyanzhou.com This AI Seminar presentation recorded and posted on our USC/ISI YouTube page within 1-2 business days: https://www.youtube.com/user/USCISI. Subscribe here to learn more about upcoming seminars: https://www.isi.edu/events/
Host: Abel Salinas and Karen Lake
More Info: https://www.isi.edu/events/5093/how-far-are-we-from-achieving-ai-automation-in-the-digital-world/
Webcast: https://usc.zoom.us/j/93035289629?pwd=FHXpqO3SHcKEppeDseLS1Y2d3blmry.1Location: Information Science Institute (ISI) - Virtual Only
WebCast Link: https://usc.zoom.us/j/93035289629?pwd=FHXpqO3SHcKEppeDseLS1Y2d3blmry.1
Audiences: Everyone Is Invited
Contact: Pete Zamar
Event Link: https://www.isi.edu/events/5093/how-far-are-we-from-achieving-ai-automation-in-the-digital-world/
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-Modeling American Sign Language via Linguistic Knowledge Infusion
Thu, Sep 26, 2024 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Lee Kezar, USC
Talk Title: Modeling American Sign Language via Linguistic Knowledge Infusion
Series: NL Seminar
Abstract: REMINDER: Meeting hosts only admit on-line guests that they know to the Zoom meeting. Hence, you’re highly encouraged to use your USC account to sign into Zoom. If you’re an outside visitor, please inform us at (nlg-seminar-host(at)isi.edu) to make us aware of your attendance so we can admit you. Specify if you will attend remotely or in person at least one business day prior to the event Provide your: full name, job title and professional affiliation and arrive at least 10 minutes before the seminar begins. If you do not have access to the 6th Floor for in-person attendance, please check in at the 10th floor main reception desk to register as a visitor and someone will escort you to the conference room location. ZOOM INFO: https://usc.zoom.us/j/92497567208?pwd=nWwbWeA3dKwYIjObiFJPxqmwbXb9p9.1 Meeting ID: 924 9756 7208 Passcode: 329410 ABSTRACT: As language technologies rapidly gain popularity and utility, many of the 70 million deaf and hard-of-hearing people who prefer a sign language are left behind. While NLP research into American Sign Language (ASL) is gaining popularity, we continue to face serious challenges like data scarcity and low engagement with ASL users and experts. This presentation will cover how ASL models strongly benefit from neuro-symbolically learning the linguistic structure of signs, yielding gains with respect to their data efficiency, explainability, and generalizability. Concretely, we show that phonological, morphological, and semantic knowledge "infusion" can increase sign recognition accuracy by 30%, enable few- and zero-shot sign understanding, reduce sensitivity to signer demographics, and address longstanding research questions in sign language phonology and language acquisition.
Biography: Lee Kezar (he/they) is fifth-year Ph.D. candidate in the USC Viterbi School of Engineering, advised by Jesse Thomason in the Grounding Language in Actions, Multimodal Observations, and Robotics (GLAMOR) Lab. Their research blends computational, linguistic, and psychological models of ASL to increase access to language technologies and advance theoretical perspectives on signing and co-speech gesture. Read more at https://leekezar.github.io
Host: Jonathan May and Katy Felkner
More Info: https://www.isi.edu/research-groups-nlg/nlg-seminars/
Webcast: https://www.youtube.com/watch?v=INxlzzNtwI4Location: Information Science Institute (ISI) - Conf Rm#689
WebCast Link: https://www.youtube.com/watch?v=INxlzzNtwI4
Audiences: Everyone Is Invited
Contact: Pete Zamar
Event Link: https://www.isi.edu/research-groups-nlg/nlg-seminars/
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.
