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
Exclusive: Brain and spinal cord institute halts research, citing funding problems
The Burke Neurological Institute, which calls itself “the only research institute in the U.S. dedicated to finding treatments to repair the brain and spinal cord,” ceased research operations on 22 May.
Exclusive: Brain and spinal cord institute halts research, citing funding problems
The Burke Neurological Institute, which calls itself “the only research institute in the U.S. dedicated to finding treatments to repair the brain and spinal cord,” ceased research operations on 22 May.
When autistic kids grow up, Chapter 1: Those people
What leads an autism researcher to publish an intentionally inflammatory paper accusing the NIH of discrimination?
When autistic kids grow up, Chapter 1: Those people
What leads an autism researcher to publish an intentionally inflammatory paper accusing the NIH of discrimination?
Supported by a $40 million NIH grant, Yale brain shuttle technology raises questions
Yale University claims its STEP platform might be able to deliver gene-editing tools into the brain via multiple routes. Researchers are eager to see more.
Supported by a $40 million NIH grant, Yale brain shuttle technology raises questions
Yale University claims its STEP platform might be able to deliver gene-editing tools into the brain via multiple routes. Researchers are eager to see more.