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, ...

This work models reinforcement-learning experiments using a recurrent neural network. It examines if the detailed credit assignment necessary for back-propagation through time can be replaced with ...

Western researchers have developed a novel technique using math to understand exactly how neural networks make decisions—a ...

This important work substantially advances our understanding of episodic memory by proposing a biologically plausible mechanism through which hippocampal barcode activity enables efficient memory ...

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

ReDrafter delivers 2.7x more tokens per second compared to traditional auto-regression ReDrafter could reduce latency for ...

As neuro-AI research advances, it holds the potential to revolutionize our understanding of intelligence by seamlessly ...

FDA published a draft guidance titled “Artificial Intelligence-Enabled Device Software Functions: Lifecycle Management ...

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

Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single token (like "the" or "it"), whereas larger words may be represented by ...