Events
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CTN: Denise Cai
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesDenise Cai Title: Dynamic neural ensembles support memory stability and flexibility across the lifetime Abstract: Creating stable memories is critical for survival. An animal relies on past learning to navigate…
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Speaker: Jorge Menendez – ARNI Frontier Models for Neuroscience and Behavior Working Group
VirtualDate and time: Monday, March 2, from 3–4 PM. Meeting Link: Upon request @[email protected] Speakers: Jorge Menendez, Research Scientist at CTRL-Labs, and Trung Le, postdoc in Prof. Chethan Pandarinath’s group.…
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Columbia University AI Summit – Reimagining Teaching and Learning in the Age of AI: An AI and Education Forum
Date: Wednesday, March 4, 2026 Time: 9:00 AM - 6:30 PM Location: Faculty Room, Low Memorial Library Address: 535 W. 116th Street, New York, NY 10027 - Visitor Information Overview…
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ARNI Continual Learning Working Group Meeting
CEPSR 620 Schapiro 530 W. 120th StNext session March 5th
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CTN: Andreas Tolias
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Foundation models of the brain Abstract: You … your memories and ambitions, your sense of personal identity and free will, are in fact no more than the behavior of a vast…
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Speaker: Xuexin Wei ARNI WG Multi-resource-cost optimization of neural network models
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States -
CTN: Farzaneh Najafi
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States -
Speaker: Katherine Xu – Language and Vision Working Group
VirtualTitle: Are Vision-Language Models Checking or Looking? Abstract: Today’s AI vision systems are trained on vast amounts of data, yet it remains unclear whether they simply retrieve memorized answers or actively…
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Speaker: Vijay Balasubramanian ARNI WG Multi-resource-cost optimization of neural network models
Zuckerman Institute - L3-079 3227 Broadway, New York, NY, United StatesTitle and Abstract: TBD
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Lecture Series in AI: Richard Zemel
Davis Auditorium 530 W 120th St, New York, NY 10027, New York, NYGeneral website Title: Integrating Past and Present in Continual Learning Abstract: Continual learning aims to bridge the gap between typical human and machine-learning environments. The continual setting does not have…