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
Interneurons’ role in epilepsy, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 9 February.
Interneurons’ role in epilepsy, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 9 February.
Aging neurons outsource garbage disposal, clog microglia
Degradation-resistant proteins pass from neurons to glial cells in a process that may spread protein clumps around the brain, according to a study in mice.
Aging neurons outsource garbage disposal, clog microglia
Degradation-resistant proteins pass from neurons to glial cells in a process that may spread protein clumps around the brain, according to a study in mice.
Oregon primate research center to negotiate with NIH on possible transition to sanctuary
The board of directors at Oregon Health & Science University, which runs the primate center, voted unanimously in favor of the move.
Oregon primate research center to negotiate with NIH on possible transition to sanctuary
The board of directors at Oregon Health & Science University, which runs the primate center, voted unanimously in favor of the move.