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.
Explore more from The Transmitter
Autism in Kenya, organoid research, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 22 December.
Autism in Kenya, organoid research, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 22 December.
‘Unprecedented’ dorsal root ganglion atlas captures 22 types of human sensory neurons
The atlas also offers up molecular and cellular targets for new pain therapies.
‘Unprecedented’ dorsal root ganglion atlas captures 22 types of human sensory neurons
The atlas also offers up molecular and cellular targets for new pain therapies.
Not playing around: Why neuroscience needs toy models
Amid the rise of billion-parameter models, I argue that toy models, with just a few neurons, remain essential—and may be all neuroscience needs.
Not playing around: Why neuroscience needs toy models
Amid the rise of billion-parameter models, I argue that toy models, with just a few neurons, remain essential—and may be all neuroscience needs.