A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...

While AI models may exhibit addiction-like behaviors, the technology is also proving to be a powerful ally in combating real ...

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

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

The study highlights that autonomous vehicle infrastructure presents a large and complex attack surface. Vehicles now contain ...

Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...

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

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...