Liz Szabo
From this contributor
How anti-vaccine activists are using COVID-19 to boost their movement
While most of the world hungers for a vaccine to put an end to the death and economic destruction wrought by COVID-19, some anti-vaccine groups are joining anti-lockdown protesters to challenge restrictions aimed at protecting public health.
How anti-vaccine activists are using COVID-19 to boost their movement
Landmark mental health bill sails through U.S. Senate
The 21st Century Cures Act, having passed the U.S. Senate, now goes to President Barack Obama, who has promised to sign it.
Landmark mental health bill sails through U.S. Senate
Massive mental health bill faces vote in U.S. Congress
If passed, the $6.3 billion 21st Century Cures Act would make mental health a national priority.
Massive mental health bill faces vote in U.S. Congress
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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.