This article is published by AllBusiness.com, a partner of TIME. Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on enabling computers to learn from data and improve ...

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 ...

In recent years, the U.S. Army has been increasingly vocal about the strategic importance of artificial intelligence and machine learning in modern military operations. Senior officials emphasize that ...

From biomedicine to political sciences, researchers increasingly use machine learning as a tool to make predictions on the basis of patterns in their data. But the claims in many such studies are ...

Reinforcement learning focuses on rewarding desired AI actions and punishing undesired ones. Common RL algorithms include State-action-reward-state-action, Q-learning, and Deep-Q networks. RL adapts ...

AI-powered systems have swept through business, surfing a rising wave of occasionally justified hype. When they're good, they're really good—take, for example, a neural net designed to help Japanese ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

One complete pass in the training phase of an AI model. With each epoch, the model is further refined. Depending on the size of the model, there can be only one epoch or as many as a hundred or more.