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How Anthony Zador thinks neuroscience can help improve AI

Artificial intelligence is ubiquitous and powerful, but can neuroscience still help advance it? Zador describes the “virtuous circle” of neuroscience and AI that drives progress in both fields.

Our NeuroAI essay series explores researchers’ perspectives on this new and rising field. This week, as neuroscientists convene for the National Institutes of Health’s BRAIN NeuroAI Workshop, we feature two pieces in which contributing editor Anthony Zador discusses NeuroAI’s past and future, plus Paul Middlebrooks’ interview with Zador on a new episode of “Brain Inspired.”

In this episode, Paul Middlebrooks talks with Tony Zador, professor of biology at Cold Spring Harbor Laboratory, about the nascent and growing field of NeuroAI. Zador points to a few key ways that neuroscience-inspired innovations could improve artificial intelligence. Studying brain development, for example, might help engineer better curriculum learning and improve how robots behave in the real world. Likewise, evolutionary principles might improve built-in priors in AI systems.

Read the transcript.

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