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DTSTART;TZID=America/New_York:20261120T083000
DTEND;TZID=America/New_York:20261120T170000
DTSTAMP:20261027T172648Z
CREATED:20261027T172611Z
LAST-MODIFIED:20261027T172648Z
UID:2742-1795163400-1795194000@arni-institute.org
SUMMARY:Continual Learning in Minds and Machines Workshop
DESCRIPTION:Overview \nWebpage\n\n\n\nHow can AI systems keep learning from experience? \n\n\n\n\nAn assistant working with a person or organization over time must remember past interactions\, learn from limited feedback\, and adapt as circumstances change. Continual learning studies how systems acquire new knowledge while preserving what remains useful. These questions connect AI research with the study of human learning and memory. \nCo-organized by Columbia Business School’s AI in Business Initiative and the NSF AI Institute for Artificial and Natural Intelligence (ARNI)\, this workshop brings together researchers in machine learning\, neuroscience\, and cognitive science with industry teams building continually learning systems. We will examine how minds and machines learn over time\, what biological memory can teach us about AI\, and how to measure whether accumulated experience improves an agent’s decisions. \nPlease note that this event is intended for researchers in the field\, not for Master’s or MBA students. A promotional code is required for registration. Please contact ARNI@columbia.edu if you are interested in registering for this workshop. 
URL:https://arni-institute.org/event/continual-learning-in-minds-and-machines-workshop/
LOCATION:Columbia Business School\, David Geffen Hall
ORGANIZER;CN="ARNI":MAILTO:arni@columbia.edu
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