Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...

In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have revolutionized data processing, offering unparalleled accuracy across various ...

Overview: The proper GPU accelerates AI workloads, neural network training, and complex computations.Look for high CUDA core ...

The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

A vulnerability in the open source deep learning tool Keras could allow attackers to load arbitrary local files or conduct ...

Blood oxygen level-dependent functional magnetic resonance imaging (BOLD-fMRI) is a cornerstone of non-invasive brain function investigation, yet its ...

The LHCb collaboration developed an inclusive deep-learning flavour tagger for neutral B-mesons, improving tagging power by ...

"The papers and data we've presented at the November IEEE conference show how Verseon's advances in AI produce superior results in life-science applications," said Verseon's Head of AI Ed Ratner. "Our ...