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
From friend to foe: How the brain updates feelings toward others
A specific hippocampus-to-amygdala pathway reassigns emotional valence to a known individual, whereas the hippocampus’s own representation of that individual’s identity remains stable.
From friend to foe: How the brain updates feelings toward others
A specific hippocampus-to-amygdala pathway reassigns emotional valence to a known individual, whereas the hippocampus’s own representation of that individual’s identity remains stable.
Mass-produced science is coming. What happens to scientists?
Artificial intelligence may soon enable researchers to generate high-quality science at a previously unimaginable speed. For science consumers—the public, medical patients, technology users—the likely effects will be positive. For scientists, the effects will be as disruptive as industrial mass production was for artisan manufacturers.
Mass-produced science is coming. What happens to scientists?
Artificial intelligence may soon enable researchers to generate high-quality science at a previously unimaginable speed. For science consumers—the public, medical patients, technology users—the likely effects will be positive. For scientists, the effects will be as disruptive as industrial mass production was for artisan manufacturers.
Neuropathologist not guilty of research misconduct, says university probe
The investigation determined that seven papers by corresponding author Adriano Aguzzi have “scientifically significant” errors, which Aguzzi attributes to his former students.
Neuropathologist not guilty of research misconduct, says university probe
The investigation determined that seven papers by corresponding author Adriano Aguzzi have “scientifically significant” errors, which Aguzzi attributes to his former students.