Mosaic
From this contributor
For people with alexithymia, emotions are a mystery
One in 10 people struggle to recognize their emotions. New research suggests a vital link between our ability to sense our physical bodies and knowing how we feel.
For people with alexithymia, emotions are a mystery
Studying genetics in the age of big data
New biomedical techniques, like next-generation genome sequencing, are creating vast amounts of data and transforming the scientific landscape.
Studying genetics in the age of big data
How genetics is revealing rare childhood conditions
A pioneering project is showing how, 17 years since the first draft of the human genome, our genes are giving up their secrets and bringing hope to parents around the world.
How genetics is revealing rare childhood conditions
Explore more from The Transmitter
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.