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
Prefrontal cortex has three transcriptomic acts across human lifespan, new atlas suggests
Various genes show distinct exits and entrances with age in the open-source dataset, the largest of its kind to date.
Prefrontal cortex has three transcriptomic acts across human lifespan, new atlas suggests
Various genes show distinct exits and entrances with age in the open-source dataset, the largest of its kind to date.
Microglia scoop out garbage from inside neurons
Through a newly identified process called skoupocytosis, neurons recruit the immune cells to remove cellular waste they find hard to deal with themselves.
Microglia scoop out garbage from inside neurons
Through a newly identified process called skoupocytosis, neurons recruit the immune cells to remove cellular waste they find hard to deal with themselves.
How neuromorphic computing could improve AI
Mihai Petrovici explains what neuromorphic computing is and how it can speed up and reduce energy consumption in artificial intelligence and brain simulations.
How neuromorphic computing could improve AI
Mihai Petrovici explains what neuromorphic computing is and how it can speed up and reduce energy consumption in artificial intelligence and brain simulations.