Jaclyn Jeffrey-Wilensky

Data Reporter

Jaclyn Jeffrey-Wilensky analyzes data and writes data-driven news stories for Spectrum.

Prior to joining the Spectrum team, she covered health, science and general news for the Daily Beast, NBC News MACH, Gothamist and other publications. She has an M.A. from the Craig Newmark Graduate School of Journalism at the City University of New York, where she studied data journalism and health and science reporting.

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Illustration of a brain overlaid with circles containing flowers and circuit-like networks, among other images.

NeuroAI: A field born from the symbiosis between neuroscience, AI

As the history of this nascent discipline reveals, neuroscience has inspired advances in artificial intelligence, and AI has provided a testing ground for models in neuroscience, accelerating progress in both fields.

By Anthony Zador
11 November 2024 | 6 min read
Illustration of a simple matrix of overlapping circles next to a more complex network of intersecting lines against a muted but colorful background.

What the brain can teach artificial neural networks

The brain offers valuable lessons to artificial neural networks to boost their data and energy efficiency, flexibility and more.

By Anthony Zador
11 November 2024 | 7 min read
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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.

By Paul Middlebrooks
11 November 2024 | 93 min listen