Jeremy Hsu is a science and technology journalist who writes for publications such as Scientific American, Discover, Wired, IEEE Spectrum and Undark. His recent focus has been on how artificial intelligence techniques such as deep learning could impact society.
Jeremy Hsu
From this contributor
How scientists secure the data driving autism research
Protecting the privacy of autistic people and their families faces new challenges in the era of big data.
How scientists secure the data driving autism research
By
Jeremy Hsu
30 September 2020 | 17 min read
Un ordinateur peut-il diagnostiquer l’autisme?
L’apprentissage automatique (machine learning) présente une possibilité pour aider les cliniciens à repérer l'autisme plus tôt, mais des obstacles techniques et éthiques demeurent.
Why are there so few autism specialists?
A lack of interest, training and pay may limit the supply of specialists best equipped to diagnose and treat children with autism.
Can a computer diagnose autism?
Machine-learning holds the promise to help clinicians spot autism sooner, but technical and ethical obstacles remain.
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By isolating specific neuron types involved in zebra finch birdsong, this 2002 Nature paper from Michael Fee and colleagues revealed elegant neural mechanisms controlling the timing of natural learned behavior.
This paper changed my life: Abigail Person on birdsong, feed-forward circuits and convergent computations
By isolating specific neuron types involved in zebra finch birdsong, this 2002 Nature paper from Michael Fee and colleagues revealed elegant neural mechanisms controlling the timing of natural learned behavior.
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Abigail Person
12 August 2025 | 6 min listen
Prosocial effects of oxytocin are state dependent; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 11 August.
Prosocial effects of oxytocin are state dependent; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 11 August.
By
Jill Adams
12 August 2025 | 2 min read
The challenge of defining a neural population
Our current approach is largely arbitrary. We need new methods for grouping cells, ideally by their dynamics.
The challenge of defining a neural population
Our current approach is largely arbitrary. We need new methods for grouping cells, ideally by their dynamics.
By
Mark Humphries
11 August 2025 | 9 min listen