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| Lecture Series In AI
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| With Dr. Eric Xing (President and University Professor, Mohamed bin Zayed University of Artificial Intelligence), Vishal Misra (Vice Dean of Computing and AI, Columbia Engineering), Tian Zheng (Professor of Statistics & Department Chair, Columbia Department of Statistics). |
| Davis Auditorium, 412 Schapiro CEPSR, 530 W 120th St |
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Apr 29 (Tue) , 2025 @ 10:30 AM
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FREE |
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/-73.96073151,40.80956268,13,0,0/550x200?access_token=pk.eyJ1IjoiZ2FyeXNndWlkZSIsImEiOiJjamtobmRiYmgwb3gwM3F1a2o2Mmd0YWw3In0.DinA62CR3-OKtf3axa5O7Q)
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| DETAILS |
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You are invited to participate in the next installment of Columbia Engineering's Lecture Series in AI with Dr. Eric Xing, President & University Professor at Mohamed bin Zayed University of Artificial Intelligence, as he presents "Toward General & Purposeful Reasoning in Real World Beyond Lingual Intelligence."
EVENT DETAILS
Schedule
10:30AM-11:00AM Registration
11:00AM-12:00PM Lecture
Advance registration is required for both Columbia affiliates & non-affiliates.
Venue
Join us on Columbia University's Morningside Campus in New York City. Campus map/directions/parking
ABOUT THE SPEAKERS
OPENING REMARKS
Remarks by Vishal Misra, Vice Dean of Computing & AI, Columbia Engineering, & Tian Zheng, Professor of Statistics & Department Chair, Columbia Department of Statistics
DISTINGUISHED LECTURER
Professor Xing is the inaugural president of MBZUAI, where he has led the university's remarkable growth in AI research & assembled a world-class faculty. Under his leadership, MBZUAI has developed a platform for students & faculty to advance research aligned with national priorities, balancing excellence in both fundamental research & translational R&D. His vision has fostered numerous high-profile partnerships with institutions like IBM, Carnegie Mellon University, & the Weizmann Institute of Science, while also creating specialized training programs for senior executives & government leaders. He has also overseen the development of state-of-the-art facilities, including a supercomputing center optimized for AI research.
A world-renowned computer scientist, Professor Xing has made pioneering contributions to statistical machine learning, including innovations in distance metric learning, network analysis, & distributed machine learning systems. His research spans core machine learning, large-scale system architecture, healthcare applications, & computational biology. He is a champion for open-source AI, having founded the CASL project to standardize AI operating systems for better scalability & industry integration. Professor Xing is a recipient of numerous prestigious awards, including the NSF Career Award & the Alfred P. Sloan Research Fellowship. He is a fellow of multiple esteemed organizations, including the AAAI, IEEE, & ACM.
ABOUT THE LECTURE
The success of large language models (LLMs) like OpenAI's GPTs has fascinated us, with their astounding capabilities in a wide range of tasks such as genius-level standard test performance, IMO-level math reasoning, encyclopedic-like question-answering, & human-like ability in conversation & writing. However, LLMs suffer inherent limitations in their capabilities for embodied reasoning, physical reasoning, social reasoning, & strategic planning thereupon, in the real world.
In this talk, I will discuss PAN, a new architecture for General & Purposeful Reasoning toward such capabilities, which includes a new World Model capable of instructible & steerable simulation of an actionable universe (of any next-world resultant from agentic action), & simulative reasoning (through experiments over alternative next-worlds) in such a virtual universe; & a new Agent Model capable of autonomously acting, planning, strategizing, learning, & adapting in this universe toward complex objectives & over diverse platforms & tasks. I will draw contrasts of our approach - a multi-modality & modular foundation model system with mixed embedding, dynamic vocabulary, simulative reasoner, hierarchical planner, & multiple learning paradigms - against several existing works & claims in the space regarding choice of data, representation, architecture, loss function, & training strategies; clarify common misconception around world models & agent models; & share theoretical insights as well as preview an upcoming model release. My newly sparked attention to philosophy may also land us on some interesting debate about what is AGI & what is agency, which may help to spark new ideas.
ABOUT THE COLUMBIA ENGINEERING LECTURE SERIES IN AI
Columbia Engineering's Lecture Series in AI explores the most cutting-edge topics in artificial intelligence & brings to campus thinkers & leaders who are shaping tomorrow's technology landscape in a wide variety of fields. Join us to unravel the complexities & possibilities of AI in today's rapidly evolving world.
Campus Access
In accordance with the University's current visitor guidelines, all non-Columbia guests will receive a QR code within 24 hours of the event date. The code will be sent to you via email from CU Guest Access & must be presented for campus entry, along with a government-issued ID. Please note, this is not the same as the Eventbrite ticket code.
Accessibility
Columbia University makes every effort to accommodate individuals with disabilities. If you require disability accommodations to attend an event at Columbia University, please contact the Office of Disability Services at 212.854.2388 or access@columbia.edu.
Photography/Videography
Columbia Engineering reserves the right to capture & use images (including video, photo, audio) of student participants at this event in its current or future marketing materials. These materials include but are not limited to: social media, digital and/or print posters, email & web-based materials. By attending & participating in this event, you are consenting to having your image captured for these purposes. If you have concerns about your likeness being used, please reach out to engineeringcommunications@columbia.edu & we will accommodate your request.
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