The predominant AI method. In the 1980s, AI "expert systems" were programmed like regular data processing applications (if-then-else rules). Today, AI systems use machine learning to "learn by example ...

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 ...

Semi-supervised learning combines supervised and unsupervised learning for efficient data analysis. This hybrid approach enhances pattern recognition from large, mixed data sets, saving time and ...

As development of technology to support the next generation of mobile accelerates, global comms tech provider and test and ...

In the beginning, all software was "free software" and "open source." But, as software became commercialized, almost all software became proprietary. In revolt against this, Richard M. Stallman (RMS) ...

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.

Software that can has been (or can be) trained to make decisions based on rules of its own invention, as opposed to rules explicitly programmed by the software author. Instead of starting with rules, ...

This article is published by AllBusiness.com, a partner of TIME. What is "Deep Learning"? Deep learning is a subset of machine learning, which itself is a branch of artificial intelligence (AI). It ...