Large language models
Recent articles
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.
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.
‘Digital humans’ in a virtual world
By combining large language models with modular cognitive control architecture, Robert Yang and his collaborators have built agents that are capable of grounded reasoning at a linguistic level. Striking collective behaviors have emerged.
‘Digital humans’ in a virtual world
By combining large language models with modular cognitive control architecture, Robert Yang and his collaborators have built agents that are capable of grounded reasoning at a linguistic level. Striking collective behaviors have emerged.
Are brains and AI converging?—an excerpt from ‘ChatGPT and the Future of AI: The Deep Language Revolution’
In his new book, to be published next week, computational neuroscience pioneer Terrence Sejnowski tackles debates about AI’s capacity to mirror cognitive processes.
Are brains and AI converging?—an excerpt from ‘ChatGPT and the Future of AI: The Deep Language Revolution’
In his new book, to be published next week, computational neuroscience pioneer Terrence Sejnowski tackles debates about AI’s capacity to mirror cognitive processes.
Explore more from The Transmitter
‘Overdue’ debate unfurls over neuroimaging method
After a January paper questioned the validity of an approach called lesion network mapping, its users are pressure testing their results.
‘Overdue’ debate unfurls over neuroimaging method
After a January paper questioned the validity of an approach called lesion network mapping, its users are pressure testing their results.
Nearly 400 compounds affect behaviors tied to autism-linked genes in zebrafish
Estropipate, paclitaxel and levocarnitine altered behaviors tied to SCN2A and DYRK1A variants specifically, a new open-source platform revealed.
Nearly 400 compounds affect behaviors tied to autism-linked genes in zebrafish
Estropipate, paclitaxel and levocarnitine altered behaviors tied to SCN2A and DYRK1A variants specifically, a new open-source platform revealed.
What neuroscientists want from a new NINDS director
The search is underway for the next director of the U.S. National Institute of Neurological Disorders and Stroke, who will face a range of challenges, neuroscientists say, but will also have an “immense opportunity to do good things.”
What neuroscientists want from a new NINDS director
The search is underway for the next director of the U.S. National Institute of Neurological Disorders and Stroke, who will face a range of challenges, neuroscientists say, but will also have an “immense opportunity to do good things.”