Artificial intelligence (AI) is a broad term used to describe various types of virtual "intelligence" designed to replicate aspects of human cognitive abilities. Machine learning (ML) is a type of ...

Deep Learning, a subset of machine learning, takes inspiration from the human brain. Here, artificial neural networks, which mimic the way neurons signal each other, are used to process data in ...

Artificial Intelligence Machine Learning vs. Deep Learning: What’s the Difference? Artificial intelligence technology is undergirded by two intertwined forms of automation.

While Machine Learning systems improve the more data they analyze, the most significant improvements require human intervention.

Over the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.

Watson needs to independently "understand" and "respond" to human writing and speech, which is an example of machine learning.

AI and Machine Learning are closely connected, but there are some important differences to note as they advance.

Machine learning and deep learning are both core technologies of artificial intelligence. Yet there are key differences between them.