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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

    Title: Constraints of efficient neural computation Abstract: Neural systems adapt to the statistical structure of the environment to support behavior. While it is generally recognized that such adaptation is subject to various biological constraints (such as noise, metabolism, wiring cost), how these constraints determine the optimal neural computation remains unclear. For the first part of…

  • CTN: Farzaneh Najafi

    Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States
  • Speaker: Katherine Xu – Language and Vision Working Group

    Virtual

    Title: 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…

  • Lecture Series in AI: Richard Zemel

    Davis Auditorium 530 W 120th St, New York, NY 10027, New York, NY

    General 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…

  • Speaker: Hadi Vafaii ARNI WG Multi-resource-cost optimization of neural network models

    Zuckerman Institute - L3-079 3227 Broadway, New York, NY, United States

    Location: ZI L3-079 Time: 1:00pm Title: Metabolic cost of information processing in Poisson variational autoencoders Abstract:Computation in biological systems is fundamentally energy-constrained, yet standard theories of computation treat energy as…

  • CTN: Jack Lindsey (Anthropic)

    Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

    Title: The inner lives of language models Abstract: In recent years, LLMs have evolved from bad text completion engines, to decent chatbots, to digital genies that work miracles on your…

  • ARNI Distinguished Seminar Series: Ellie Pavlick (Brown University)

    Zuckerman Institute- Kavli Auditorium 9th Fl 3227 Broadway, NY

    Ellie Pavlick (Assistant Professor of Computer Science and Linguistics, Brown University and Director, NSF Institute on Interaction for AI Assistants (ARIA)) Location: ZI Kavli Auditorium 9th Floor Time: 3:00pm Title: (How) Does AI Think? Abstract: The increasingly human-like behavior of AI has led to a fascination with ascribing it human-like internal properties -- notions like…