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
Highly cited autism paper earns expression of concern over data duplications
The notice, published in Nature last week, also addressed an image duplication identified by a prominent research-integrity sleuth.
Highly cited autism paper earns expression of concern over data duplications
The notice, published in Nature last week, also addressed an image duplication identified by a prominent research-integrity sleuth.
By
Madeline Shaw
16 October 2026 | 4 min read
Govern neurodata by how it’s used, not where it’s from
New neurodata laws will shape how researchers gather, share and reuse brain data. A use-based governance protects basic researchers and those whose data are being used, without freezing science.
Govern neurodata by how it’s used, not where it’s from
New neurodata laws will shape how researchers gather, share and reuse brain data. A use-based governance protects basic researchers and those whose data are being used, without freezing science.
By
José M. Muñoz
16 October 2026 | 7 min read
How new technologies can bring primatologists and systems neuroscientists together
The two groups study the same behavioral phenomena yet rarely interact or read each other's work—a mutual blind spot that weakens both fields. New technologies offer a chance to bring them together.
How new technologies can bring primatologists and systems neuroscientists together
The two groups study the same behavioral phenomena yet rarely interact or read each other's work—a mutual blind spot that weakens both fields. New technologies offer a chance to bring them together.
By
Sjoerd Murris
15 October 2026 | 6 min read