Events
Calendar of Events
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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. This talk explores the intersection of emotion theory, dataset development, and multimodal machine learning, highlighting key challenges and innovations in emotion recognition. We discuss the… |
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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 led by CEO Matt Trevithick. The title of the talk is the following: Quantifying Cognitive Performance in the Wild: Measurement, Modeling, and Operational Outcomes |
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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… |
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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… |
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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… |
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