Deep learning, a subset of machine learning represents the next stage of development for AI. By using artificial neural networks that act very much like a human brain, machines can take data in ...

Quantity and quality of data are not enough to take full advantage of machine learning. The structures built around data -- and the way data is structured -- influence the value you can derive ...

An AI machine learning architecture employed in "neural networks." Emerging in the 2010s, deep learning is used in all forms of AI such as computer vision, self-driving cars, natural language ...

Common types of AI models include machine learning, deep learning, natural language processing, computer vision, generative AI, and hybrid AI. (Jump to Section) ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.