NSF AI Institute for
Artificial and Natural Intelligence

What are the algorithms of Intelligence?

The NSF AI Institute for Artificial and Natural Intelligence (ARNI) connects a decade of progress in AI to the revolution in our understanding of the brain. ARNI meets the urgent need for new paradigms of interdisciplinary research between neuroscience and AI. We pursue both theoretical and use-inspired work that will accelerate progress in both fields, and broaden their transformative impact on society in the next decade.

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Continual Learning in Minds and Machines

An 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.
Co-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.
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ARNI is part of a cohort of National Artificial Intelligence Research Institutes funded by the National Science Foundation. The NSF, in collaboration with government agencies and private sector leaders, has now invested close to half a billion dollars in the AI institutes ecosystem—an investment that expands a collaborative AI research network into almost every state. To learn more about ai institutes please visit aiinstitutes.org.