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
Three ecological psychologists on the right and wrong ways to use the field’s principles in neuroscience
Matthieu de Wit, Luis H. Favela and Vicente Raja weigh in on the recent trend of neuroscientists importing concepts from ecological psychology, the study of how an organism’s interactions with its environment explain perception and action.
Three ecological psychologists on the right and wrong ways to use the field’s principles in neuroscience
Matthieu de Wit, Luis H. Favela and Vicente Raja weigh in on the recent trend of neuroscientists importing concepts from ecological psychology, the study of how an organism’s interactions with its environment explain perception and action.
Is there a neuroscientist in the House?
Sam Wang, a neuroscientist running for the U.S. House of Representatives, has been considering American democracy for decades.
Is there a neuroscientist in the House?
Sam Wang, a neuroscientist running for the U.S. House of Representatives, has been considering American democracy for decades.
Marcelle Lapicque: A forgotten pioneer in neuroscience
Lapicque was the first Black woman neuroscientist in Europe, new research suggests.
Marcelle Lapicque: A forgotten pioneer in neuroscience
Lapicque was the first Black woman neuroscientist in Europe, new research suggests.