Loading...
Lecture Series in AI: Prof. Richard Zemel, Trianthe Dakolias Professor of Engineering and Applied Science; Director, NSF AI Institute for Artificial and Natural Intelligence
by
Fri, Mar 27, 2026
10:30 AM – 12 PM EDT (GMT-4)
Private Location (sign in to display)
Details
10:30-11:00am Check-in
11:00-12:00pm Lecture
Advance registration required for both Columbia non-affiliates and Columbia affiliates.
About the Speaker
Richard Zemel is the Trianthe Dakolias Professor of Engineering and Applied Science in the Computer Science Department at Columbia University. He is the Director of the NSF AI Institute for Artificial and Natural Intelligence (ARNI), and was the co-founder and inaugural Research Director of the Vector Institute for Artificial Intelligence. His awards include an AI Lifetime Achievement Award (CAIA) and a Pioneer of AI Award (NVIDIA). His research contributions include foundational work on systems that learn useful representations of data with little or no supervision; graph-based machine learning; and algorithms for fair and robust machine learning.
About the Lecture
"Integrating Past and Present in Continual Learning"
Continual learning aims to bridge the gap between typical human and machine-learning environments. The continual setting does not have separate training and testing phases, and instead models are evaluated online while learning novel concepts and tasks. The most capable current AI systems struggle to learn new knowledge sequentially without forgetting old ones. Challenging research questions include how to rapidly assess a learner system's abilities and how to most efficiently train it to improve on a sequence of tasks. I will describe recent progress on these questions, across various research groups in ARNI, our NSF AI Institute for Artificial and Natural Intelligence. Finally we will consider open issues and challenges in continual learning.
Campus Access
In accordance with the University's current visitor guidelines, all non-Columbia guests will receive a QR code within a few hours of the event date. The code will be sent to you via email from CU Guest Access and must be presented for campus entry, along with a government-issued ID.
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 and 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 and web-based materials. By attending and 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 and we will accommodate your request.