Kenna Hughes-Castleberry is science communicator at JILA and editor-in-chief of their journal, Light & Matter. She is also a freelance science journalist. Her beats include quantum technology, artificial intelligence, diversity within the tech industries, animal intelligence, corvids and cephalopods. Her work has been featured in various publications, including Scientific American, New Scientist, Discover Magazine, Ars Technica, Nature Biotechnology, Astronomy Magazine, Leaps Magazine, Hakai Magazine, ChemistryWorld, Physics.org, Colorado Magazine, Inside Quantum Technology, The Debrief and more. She sits on the board of the Science Writers Association of the Rocky Mountains (SWARM) and teaches science writing to graduate students at JILA.
Kenna Hughes-Castleberry
Contributing writer
From this contributor
Number-associated neurons help crows link values to symbols
Comparable neurons also exist in primates, which shared a common ancestor with crows more than 300 million years ago, suggesting that the ability to “count” evolved independently in the two lineages.
Number-associated neurons help crows link values to symbols
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Commentary: Citation graphs may underestimate neuroscience’s influence on AI
An alternative, albeit less quantitative, way to trace this history is through the people who carried ideas between the fields.
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Commentary: The rising absolute number of neuro-inspired AI papers represents a substantial footprint
Many of the design choices present in the current generation of artificial-intelligence tools parallel purported properties of the brain.
Examining the bridge between neuroscience and AI
A citation analysis reveals that the connection between the two fields is real and gaining momentum. But it’s also narrow and tool-heavy; we need to find ways to widen it.
Examining the bridge between neuroscience and AI
A citation analysis reveals that the connection between the two fields is real and gaining momentum. But it’s also narrow and tool-heavy; we need to find ways to widen it.