Large language models
Recent articles
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.
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Quantifying funding sources across neuroscience labs
We want to hear from you about the sources of funding for your research.
Quantifying funding sources across neuroscience labs
We want to hear from you about the sources of funding for your research.
What kinds of support do early-career researchers need?
Help The Transmitter and Neuromatch bolster the next generation of neuroscientists.
What kinds of support do early-career researchers need?
Help The Transmitter and Neuromatch bolster the next generation of neuroscientists.
Alzheimer’s scientist forced to retract paper during his own replication effort
Gary Dunbar, a neuroscientist at Central Michigan University, was attempting to redo the 2020 paper after a collaborator admitted to using flawed data in the original work.
Alzheimer’s scientist forced to retract paper during his own replication effort
Gary Dunbar, a neuroscientist at Central Michigan University, was attempting to redo the 2020 paper after a collaborator admitted to using flawed data in the original work.