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
How basic neuroscientists can connect with autistic people and their communities
A first-of-its-kind workshop offers a template for autism researchers who want to incorporate community perspectives into their work.
How basic neuroscientists can connect with autistic people and their communities
A first-of-its-kind workshop offers a template for autism researchers who want to incorporate community perspectives into their work.
Long-sought walking circuit found in fruit flies
The neuronal circuit controlling repetitive locomotion patterns in any animal has been a mystery until now.
Long-sought walking circuit found in fruit flies
The neuronal circuit controlling repetitive locomotion patterns in any animal has been a mystery until now.
Crisis de financiación en Argentina desata nueva ola de protestas
Dos años luego de que colapsara la financiación para investigación del país colapsara, los científicos están manifestando en contra del incumplimiento del gobierno para restaurar becas cortadas previamente y aumentar salarios como lo establece una del 2025.
Crisis de financiación en Argentina desata nueva ola de protestas
Dos años luego de que colapsara la financiación para investigación del país colapsara, los científicos están manifestando en contra del incumplimiento del gobierno para restaurar becas cortadas previamente y aumentar salarios como lo establece una del 2025.