The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

A research team led by Hiroshima University and Tokyo University of Agriculture and Technology have proposed a neuroendocrine ...

World models are the building blocks to the next era of physical AI -- and a future in which AI is more firmly rooted in our reality.

Humans have the remarkable ability to remember the same person or object in completely different situations. We can easily ...

Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they ...

Shifting focus on a visual scene without moving our eyes — think driving, or reading a room for the reaction to your joke — is a behavior known as covert ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

It’s all hands on deck at Meta, as the company develops new AI models under its superintelligence lab led by Scale AI co-founder, Alexandr Wang. The company is now working on an image and video model ...

(Santa Barbara, Calif.) — Shifting focus on a visual scene without moving our eyes — think driving, or reading a room for the reaction to your joke — is a behavior known as covert attention. We do it ...

Mark Zuckerberg has for months publicly hinted that he is backing away from open-source AI models. Now, Meta's latest AI pivot is starting to come into focus. The company is reportedly working on a ...