This valuable study presents a plastic recurrent spiking network model that spontaneously generates repeating neuronal sequences under unstructured inputs. The authors provide solid evidence that, ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

Anthropic's dispute with US government exposes deeper rifts over AI governance, risk and control - SiliconANGLE ...

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

A team of researchers has built what may be the most detailed map of scientific and technological breakthroughs ever assembled, covering roughly 55 million papers and patents. The study, published in ...

Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The ...

In its "Tuscan Wheels" demo, the company showed VRAM usage dropping from roughly 6.5GB with traditional BCN-compressed ...

NVIDIA shows neural rendering cuts VRAM use, reduces game storage, and improves performance without changing visual quality ...

Intel TSNC brings neural texture compression with up to 18x reduction, faster decoding, and flexible SDK support for modern ...

This study provides an important and biologically plausible account of how human perceptual judgments of heading direction are influenced by a specific pattern of motion in optic flow fields known as ...