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.
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Crise de financiamento na Argentina desencadeia nova onda de protestos
Dois anos após o colapso do financiamento à pesquisa no país, cientistas estão protestando contra a omissão do governo em restabelecer bolsas que haviam sido cortadas e aumentar os salários, conforme exigido por uma lei de 2025.
Crise de financiamento na Argentina desencadeia nova onda de protestos
Dois anos após o colapso do financiamento à pesquisa no país, cientistas estão protestando contra a omissão do governo em restabelecer bolsas que haviam sido cortadas e aumentar os salários, conforme exigido por uma lei de 2025.
O que as sanguessugas revelam sobre o movimento
Lidia Szczupak recorreu a esses animais para investigar como o sistema nervoso coordena o movimento.
O que as sanguessugas revelam sobre o movimento
Lidia Szczupak recorreu a esses animais para investigar como o sistema nervoso coordena o movimento.
Lo que las sanguijuelas revelan sobre movimiento
Lidia Szczupak recurrió a los animales para explorar cómo el sistema nervioso coordina el movimiento.
Lo que las sanguijuelas revelan sobre movimiento
Lidia Szczupak recurrió a los animales para explorar cómo el sistema nervioso coordina el movimiento.