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
PIEZO channels are opening the study of mechanosensation in unexpected places
The force-activated ion channels underlie the senses of touch and proprioception. Now scientists are using them as a tool to explore molecular mechanisms at work in internal organs, including the heart, bladder, uterus and kidney.
PIEZO channels are opening the study of mechanosensation in unexpected places
The force-activated ion channels underlie the senses of touch and proprioception. Now scientists are using them as a tool to explore molecular mechanisms at work in internal organs, including the heart, bladder, uterus and kidney.
Latest iteration of U.S. federal autism committee comes under fire
The new panel “represents a radical departure from all past rosters,” says autism researcher Helen Tager-Flusberg.
Latest iteration of U.S. federal autism committee comes under fire
The new panel “represents a radical departure from all past rosters,” says autism researcher Helen Tager-Flusberg.
‘Tour de force’ study flags fount of interneurons in human brain
The newly discovered cell type might point to the origins of the inhibitory imbalance linked to autism and other conditions.
‘Tour de force’ study flags fount of interneurons in human brain
The newly discovered cell type might point to the origins of the inhibitory imbalance linked to autism and other conditions.