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  • 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:…

  • Speaker: Ziwei (Sara) Gong – ARNI Language and Vision Working Group

    Virtual

    Title: Decoding Human Emotions: From Psychological Theories to Multimodal NLP Models Abstract: Understanding and modeling human emotions is essential for natural language processing (NLP) applications, from conversational AI to mental health assessment.…

  • ARNI Continual Learning Working Group Meeting

    We will feature a team of speakers from Blank Slate Technologies, a startup investigating issues related to continual learning and catastrophic forgetting in human operatives on mission-critical tasks. The team will be…

  • Speaker: Hubert Banville, Meta – ARNI Frontier Models for Neuroscience and Behavior Working Group

    Virtual

    Hubert Banville, Meta Title: A foundation model of vision, audition, and language for in-silico neuroscience Abstract: Cognitive neuroscience is fragmented into specialized models, each tailored to specific experimental paradigms, hence preventing a unified model of cognition in the human brain. Here, we introduce TRIBE v2, a tri-modal (video, audio and language) foundation model capable of…

  • Memory, Neuroscience and AI: Zuckerman Institute’s Local Circuits Symposium

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

    Register Here! How are memories formed, organized, and used to guide behavior? And what can artificial intelligence teach us about how the brain remembers? Join faculty and early-career researchers from across Columbia for the Local Circuits symposium, exploring the science of memory across biological and artificial systems. Talks will span systems and cognitive neuroscience, machine learning, and…

  • Speaker: Alexandre Pouget – ARNI Distinguish Seminar Series

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

    Alexandre Pouget Date and Time: May 21st at 3pm Location: Zuckerman Institute Kavli Auditorium 9th Floor Title: Neural Models of Compositionality Abstract: Compositionality is widely regarded as one of the cornerstones of general intelligence. It refers to the ability to rapidly generate or learn new concepts by combining simpler ones according to an underlying syntax, as…