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 | 16 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.
Explore more from The Transmitter
Is it time for neuroscience to shift its focus from a computational mind to a navigating mind?
Andrea Hiott explains her navigational approach to the mind, and why now is the time to embrace seemingly paradoxical findings in neuroscience.
Is it time for neuroscience to shift its focus from a computational mind to a navigating mind?
Andrea Hiott explains her navigational approach to the mind, and why now is the time to embrace seemingly paradoxical findings in neuroscience.
By
Paul Middlebrooks
21 October 2026 | 1 min read
Human brain organoids come of age—but still have room to grow
The U.S. government has touted organoids as an alternative to animals for studying the brain. The model has improved since its debut in 2013, but scientists are still working to overcome key limitations: immaturity, consistency and the lack of vascularization.
Human brain organoids come of age—but still have room to grow
The U.S. government has touted organoids as an alternative to animals for studying the brain. The model has improved since its debut in 2013, but scientists are still working to overcome key limitations: immaturity, consistency and the lack of vascularization.
By
Claudia López Lloreda
21 October 2026 | 9 min read
Finding neuroheterogeneity’s sweet spot
Once thought to be detrimental to memory processing, neuronal diversity—at the right ‘Goldilocks’ dose—is a new boon to theoretical neuroscience.
Finding neuroheterogeneity’s sweet spot
Once thought to be detrimental to memory processing, neuronal diversity—at the right ‘Goldilocks’ dose—is a new boon to theoretical neuroscience.
By
Natalia Mesa
20 October 2026 | 7 min read