Columbia University is bringing its community together for an exhilarating, day-long exploration of artificial intelligence and its transformative impact across disciplines. Across the Morningside, Manhattanville, and Medical Center campuses, specialized workshops will dive deep into AI’s role in fields ranging from healthcare to the humanities. The event will feature a must-see keynote by Sami Haddadin,…

Title: The geometry of cognitive flexibility Abstract: Humans and animals are remarkably good at multi-tasking: we quickly learn many different tasks and flexibly switch between them. Theoretical work suggests such cognitive flexibility requires representing the current task and then using this task representation to selectively engage in task-relevant computations. In this talk, I will discuss recent research…

Continuation of Year 3 proposal meeting! Zoom: https://columbiauniversity.zoom.us/j/97176853843?pwd=VLZdh6yqHBcOQhdf816lkN5ByIpIsF.1

Soledad Gonzalo Cogno Seminar Time: 11:30am Date: Wed 3/19/25 Location: JLG, L5-084 Title: Ultraslow patterns of neural population activity in the entorhinal-hippocampal circuit Note: Everything I will present in this talk is preliminary – Feedback and ideas will be very much appreciated! Abstract: The medial entorhinal cortex hosts many of the brain’s circuit elements for spatial navigation and…

Title: TBD Abstract: TBD

Continuation of meeting from prior working group meetings. Zoom link: https://columbiauniversity.zoom.us/j/97176853843?pwd=VLZdh6yqHBcOQhdf816lkN5ByIpIsF.1

Research Scientist, Reality labs at Meta Title: TBD Location: TBD Abstract: TBD

ARNI is committed to promoting science education among New York City's youth. This year, ARNI is supporting Girls' Science Day on April 5, 2025. Location: TBD Mission Girls’ Science Day at Columbia University seeks to champion the advancement of women and underrepresented groups in the fields of science, technology, engineering, and math (STEM). By offering…

Title: Principles of Learning from Multiple Tasks Abstract:  Deep networks are increasingly trained on data from multiple tasks with the goal of sharing synergistic information across related tasks. A language model, for example, is trained on 10 trillion tokens on tasks ranging from programming, finance, trivia to translation and a vision model is trained on over a billion…

Speaker: Christopher A. Baldassano Title: Remembering events using schematic knowledge Abstract: Our everyday experiences consist of familiar sequences of events in familiar contexts, and we use our knowledge of the past to understand and remember the present. Research in my lab combines behavioral, eye-tracking, and neuroimaging methods to investigate how prior knowledge of temporal and spatial structure impacts…

Title: How the human brain thinks about itself Abstract: The human brain has a remarkable ability to monitor and evaluate its own mental states, known as metacognition. Metacognition is crucial to success, enabling us to recognise gaps in our knowledge and collaborate effectively. Problems with metacognition are linked to maladaptive behaviours, such as endorsing false…