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.
Explore more from The Transmitter
Impaired sensory learning in a mouse model of fragile X syndrome; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 22 September.
Impaired sensory learning in a mouse model of fragile X syndrome; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 22 September.
‘What Is Intelligence?’: An excerpt
In his new book, published today, Blaise Agüera y Arcas examines the fundamental aspects of intelligence in biological and artificial systems. In this excerpt from Chapter 4, he examines temporal difference, a reinforcement learning algorithm.
‘What Is Intelligence?’: An excerpt
In his new book, published today, Blaise Agüera y Arcas examines the fundamental aspects of intelligence in biological and artificial systems. In this excerpt from Chapter 4, he examines temporal difference, a reinforcement learning algorithm.
Alzheimer’s paper retracted over apparent image duplication
The editors of Neurobiology of Disease, which published the paper, also questioned how the study’s experimental protocols received ethical approval.
Alzheimer’s paper retracted over apparent image duplication
The editors of Neurobiology of Disease, which published the paper, also questioned how the study’s experimental protocols received ethical approval.