The application of neural networks to halftone image processing has catalysed transformative advances in both the generation and restoration of digital images. By leveraging deep learning ...

A new technical paper titled “Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration” was published by imec, TU Delft and University of ...

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development of computational models inspired by the brain's layered organization, also ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

AI neural networks, inspired by the human brain are a foundational technology in the field of artificial intelligence. They are designed to recognize patterns and make decisions with a level of ...

Neuro-symbolic AI is a unique form of artificial intelligence that combines the strengths of neural and symbolic AI architectures. This powerful AI model can model cognition, learning, and reason, ...

To study how a key chemical neuromodulator affects signaling in the brain's cortex, Garrett Neske, PhD, has received a three-year, $300,000 grant from the Whitehall Foundation, a nonprofit ...

Neural processing unts (NPUs) are the latest chips you might find in smartphones and laptops — but what are they ard why are they so important? When you purchase through links on our site, we may earn ...