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
Neuroscience conference policy draws confusion, apology
NeurIPS organizers apologized and altered course after issuing a policy that barred submissions from researchers at U.S.-government-sanctioned institutions.
Neuroscience conference policy draws confusion, apology
NeurIPS organizers apologized and altered course after issuing a policy that barred submissions from researchers at U.S.-government-sanctioned institutions.
Funding for animal research alternatives reaches ‘inflection point’
The United States and Europe are dedicating hundreds of millions of dollars in funding to advance novel alternative methods, but not all neuroscientists see this as a positive step.
Funding for animal research alternatives reaches ‘inflection point’
The United States and Europe are dedicating hundreds of millions of dollars in funding to advance novel alternative methods, but not all neuroscientists see this as a positive step.
‘Friction-maxxing’ in school: Students should read primary literature, not AI summaries
Trainees need to learn how to identify a neuroscience paper’s major takeaways and integrate them into their understanding. This skill doesn’t come from outsourcing the work to large language models.
‘Friction-maxxing’ in school: Students should read primary literature, not AI summaries
Trainees need to learn how to identify a neuroscience paper’s major takeaways and integrate them into their understanding. This skill doesn’t come from outsourcing the work to large language models.