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

Binary digits and circuit patterns forming a silhouette of a head. Neural networks and deep learning are closely related artificial intelligence technologies. While they are often used in tandem, ...

To achieve true autonomy, AI systems must integrate both neural networks (for learning and pattern recognition) and symbolic AI (for structured knowledge and reasoning). This fusion, known as ...

The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural ...

"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 ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

A machine learning algorithm used gene expression profiles of patients with gout to predict flares.