Neural networks are now applied across the spectrum of AI applications while deep learning is reserved for more specialized or advanced AI use cases.

Deep learning, a subset of machine learning, refers to machine learning that takes place on artificial intelligence neural networks.

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

The deep learning pioneers believe that better neural network architectures will eventually lead to all aspects of human and animal intelligence, including symbol manipulation, reasoning, causal ...

Deep learning is a subset of machine learning which uses neural networks to perform learning and predictions. Deep learning has shown amazing performance in various tasks, whether it be text, time ...

Oceans are facing a multitude of climate-induced stresses including acidification, sea-level rise, warming waters, and ice ...

Designed to mimic the brain itself, artificial neural networks use mathematical equations to identify and predict patterns in datasets and images.

Born in the 1950s, the concept of an artificial neural network has progressed considerably. Today, known as “deep learning”, its uses have expanded to many areas, including finance.