Knvul Sheikh is a freelance science journalist based in New York. She writes about psychology, personalized medicine, genetics and culture. She served as web editor for Genome magazine, and her stories have appeared in The Atlantic, National Geographic, Popular Science, Scientific American and Vice, among others.
Knvul Sheikh
From this contributor
Spotted around the web: Week of 20 May 2019
Here is a roundup of news and research for the week of 20 May.
Spotted around the web: Week of 6 May 2019
Here is a roundup of news and research for the week of 6 May.
Spotted around the web: Week of 22 April 2019
Here is a roundup of news and research for the week of 22 April.
Spotted around the web: Week of 8 April 2019
Here is a roundup of news and research for the week of 8 April.
New figures for autism prevalence in China point to previous neglect
About 1 in 100 children in China has autism, suggesting the condition is more common in the country than previously thought.
New figures for autism prevalence in China point to previous neglect
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How to collaborate with AI
To make the best use of LLMs in research, turn your scientific question into a set of concrete, checkable proposals, wire up an automatic scoring loop, and let the AI iterate.
How to collaborate with AI
To make the best use of LLMs in research, turn your scientific question into a set of concrete, checkable proposals, wire up an automatic scoring loop, and let the AI iterate.
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.