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
Oregon primate research center to downsize monkey colony, pivot to non-animal models
The center’s host university had been negotiating with the federal government about converting the center into an animal sanctuary. A new plan, approved today, preserves some of the center’s nonhuman primate studies.
Oregon primate research center to downsize monkey colony, pivot to non-animal models
The center’s host university had been negotiating with the federal government about converting the center into an animal sanctuary. A new plan, approved today, preserves some of the center’s nonhuman primate studies.
A planetarium for the brain
Tyler Sloan’s new film, more than a decade in the making, takes viewers on an immersive journey.
A planetarium for the brain
Tyler Sloan’s new film, more than a decade in the making, takes viewers on an immersive journey.
Neuroscientists weigh in on White House proposal for ‘moonshot infrastructure’ for connectomics
A report from the Trump administration calls for a “new golden age” of science, in which the federal government supports mission-driven collaborations to deliver high returns on research investments.
Neuroscientists weigh in on White House proposal for ‘moonshot infrastructure’ for connectomics
A report from the Trump administration calls for a “new golden age” of science, in which the federal government supports mission-driven collaborations to deliver high returns on research investments.