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.
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Manifestantes argentinos denuncian el recorte al financiamiento científico
Manifestantes alrededor del país exigieron al gobierno que aumente los salarios de las universidades públicas y el financiamiento para la investigación científica.
Manifestantes argentinos denuncian el recorte al financiamiento científico
Manifestantes alrededor del país exigieron al gobierno que aumente los salarios de las universidades públicas y el financiamiento para la investigación científica.
By
Claudia López Lloreda, Natalia Mesa, Anita Pouchard Serra
19 May 2026 | 4 min read
Outside influences on CHD8 variant phenotypes, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 18 May.
Outside influences on CHD8 variant phenotypes, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 18 May.
By
Jill Adams
19 May 2026 | 2 min read
Reforming neuroscience graduate education for—and with—AI
In disrupting the status quo, artificial intelligence can help us critically reassess and redefine what neuroscience graduate training should look like—and potentially address long-standing training challenges in novel and innovative ways.
Reforming neuroscience graduate education for—and with—AI
In disrupting the status quo, artificial intelligence can help us critically reassess and redefine what neuroscience graduate training should look like—and potentially address long-standing training challenges in novel and innovative ways.
By
Tari Tan
19 May 2026 | 7 min read