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.
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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.
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How scientists secure the data driving autism research
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
Autism program chief among National Institutes of Health layoffs
The termination is one of more than 1,000 employee cuts at the U.S. agency this week.
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Autism program chief among National Institutes of Health layoffs
The termination is one of more than 1,000 employee cuts at the U.S. agency this week.
This paper changed my Life: Bill Newsome reflects on a quadrilogy of classic visual perception studies
The 1970s papers from Goldberg and Wurtz made ambitious mechanistic studies of higher brain functions seem feasible.
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This paper changed my Life: Bill Newsome reflects on a quadrilogy of classic visual perception studies
The 1970s papers from Goldberg and Wurtz made ambitious mechanistic studies of higher brain functions seem feasible.
Science must step away from nationally managed infrastructure
Scientific data and independence are at risk. We need to work with community-driven services and university libraries to create new multi-country organizations that are resilient to political interference.
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Science must step away from nationally managed infrastructure
Scientific data and independence are at risk. We need to work with community-driven services and university libraries to create new multi-country organizations that are resilient to political interference.