Researchers outline a bold strategy to scale neuromorphic computing, aiming to match human brain functionality with minimal ...

Using a rodent stress model, researchers at the Laboratory of Thalamus Research, HUN-REN Institute of Experimental Medicine ...

Neuromorphic computing—a field that applies principles of neuroscience to computing systems to mimic the brain's function and ...

Researchers developed a PV-RNN model that learns like children, integrating language and action to uncover mechanisms of ...

Artificial intelligence (AI) writing tools have been exploding in popularity. Automated rewriting tools, or text generators, or article spinners, these algorithms claim to generate human-like content ...

We humans excel at generalization. If you taught a toddler to identify the color red by showing her a red ball, a red truck ...

Two new neural network designs promise to make AI models more adaptable and efficient, potentially changing how artificial ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

The Chinese Canadian artist is presenting a new kinetic work as part of the arts and culture programme at the 2025 World ...

A team of researchers at Western University has now taken a major step toward opening these AI black boxes. By applying ...

The device paves the way for a new era of ultrafast computing, say researchers.

To address the above problems, this article proposes a recurrent self-coding neural network (RSCN) for one-stop noise cancellation of the whole measurement line signal. The method adopts the gated ...