Dear all,

Our next AI seminar on "Symbolic AI 3.0 (S3): Rise of the LLMs" by  Scott Sanner is scheduled to be on Oct 27^th  (Friday), 1-2 PM.  It will be followed by a 30-minute Q&A session with the graduate students. 

Location: KEC 1001

Symbolic AI 3.0 (S3): Rise of the LLMs

Scott Sanner
Associate Professor

Industrial Engineering and Computer Science

University of Toronto

Abstract:

Large Language Models (LLMs) such as ChatGPT have emerged as a revolutionary technology for natural language reasoning and numerous related AI applications. I'll discuss some of my group's own work on abstract reasoning and interactive conversational systems leveraging LLMs and the game-changing realizations that I have taken away from these investigations. This talk will then discuss some general implications of the LLM era and my conjectures as to how it will shift research foci in the near future and enable levels of user-facing AI deployment that were unthinkable just two years ago. 

Speaker Bio:

Scott Sanner is an Associate Professor in Industrial Engineering and Cross-appointed in Computer Science at the University of Toronto. Scott’s research focuses on a broad range of AI topics spanning sequential decision-making, (conversational) recommender systems, and applications of machine/deep learning. Scott is currently an Associate Editor for ACM Transactions on Recommender Systems (TORS), the Machine Learning Journal (MLJ), and the Journal of Artificial Intelligence Research (JAIR). Scott was a co-recipient of paper awards from the AI Journal (2014), Transport Research Board (2016), and CPAIOR (2018). He was a recipient of a Google Faculty Research Award in 2020 and a Visiting Researcher at Google while on sabbatical during 2022-23.

Please watch this space for future AI Seminars :

https://engineering.oregonstate.edu/EECS/research/AI

Rajesh Mangannavar,

Graduate Student

Oregon State University  

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AI Seminar Important Reminders:
-> For graduate students in the AI program, attendance is strongly encouraged