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
Single-neuron recordings zoom into ‘blurry map’ of human motor cortex
The motor cortex is organized into an "intermixed jumble of tiles" to generate meaningful movement.
Single-neuron recordings zoom into ‘blurry map’ of human motor cortex
The motor cortex is organized into an "intermixed jumble of tiles" to generate meaningful movement.
By
Claudia López Lloreda
17 June 2026 | 5 min read
Exclusive: Neuroscience journal editor resigns over automation concerns
The editor resigned after the publisher’s artificial-intelligence system overrode his selection of referees for a manuscript. His move prompted an internal review of the system.
Exclusive: Neuroscience journal editor resigns over automation concerns
The editor resigned after the publisher’s artificial-intelligence system overrode his selection of referees for a manuscript. His move prompted an internal review of the system.
By
Dalmeet Singh Chawla
17 June 2026 | 5 min read
Are computational complexity principles relevant for explaining brain activity?
Cristopher Moore discusses the nature of computation and whether we should think of neural activity as computing.
Are computational complexity principles relevant for explaining brain activity?
Cristopher Moore discusses the nature of computation and whether we should think of neural activity as computing.
By
Paul Middlebrooks
17 June 2026 | 1 min read