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
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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Remembering Gerry Fischbach, ‘orchestra conductor’ who brought scientists together
Fischbach, who died 25 October, elucidated the dynamic changes in neuromuscular junctions. Beyond the lab, he shaped careers, academic departments and scientific societies.
Remembering Gerry Fischbach, ‘orchestra conductor’ who brought scientists together
Fischbach, who died 25 October, elucidated the dynamic changes in neuromuscular junctions. Beyond the lab, he shaped careers, academic departments and scientific societies.
WILD platform levels up ability to record brain activity, behavior in nature
The customizable rig combines multimodal recording, onboard processing and neuronal manipulation to power more complex experiments.
WILD platform levels up ability to record brain activity, behavior in nature
The customizable rig combines multimodal recording, onboard processing and neuronal manipulation to power more complex experiments.
The relationship between structure and function in cortical networks
Michael Reimann explains how the shape of neurons puts strong constraints on how they are wired in a network, and how this affects their structure-function relationships.
The relationship between structure and function in cortical networks
Michael Reimann explains how the shape of neurons puts strong constraints on how they are wired in a network, and how this affects their structure-function relationships.