The language capabilities of today's artificial intelligence systems are astonishing. We can now engage in natural ...

Researchers at University of Southern California and University of Pennsylvania recently introduced a new nonlinear dynamical modeling framework based on recurrent neural networks (RNNs) that ...

Throughout their everyday lives, humans are typically required to make a wide range of decisions, which can impact their well ...

A collaborative study led by Professor Vittoria Raffa at the University of Pisa and Assistant Professor Fabian Raudzus ...

Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like telling a leaf apart from a rock. But they have struggled to build ...

The brain doesn't merely register time—it structures it, according to new research from the Kavli Institute for Systems ...

The latest generative AI models such as OpenAI's ChatGPT-4 and Google's Gemini 2.5 require not only high memory bandwidth but also large memory capacity. This is why generative AI cloud operating ...

Kanter. "In artificial neural networks, each object needs its own output unit to be recognized, whereas the brain can use one neuronal output, where its activity as a function of time differentiates ...

Neural progenitors are cells that are capable of dividing a limited number of times and have the capacity to differentiate into a restricted repertoire of neuronal and glial cell types. The ...

Complex networks are networks that feature patterns of connection between their elements that are neither purely regular nor purely random. Most real-world networks, such as transportation, social ...