Glossary: Machine Learning

Machine learning is a branch of artificial intelligence in which systems use training data to recognize patterns and learn to make decisions without explicit human programming. Machine learning algorithms can be supervised or unsupervised, depending on the level of human involvement in learning to predict outcomes. In reinforcement learning, machines learn through trial and error, weighing the results to improve behavior over time.

In reinforcement learning, machines learn through trial and error, weighting the results to improve behavior over time. Assumptions by the people building data sets or models can cause AI bias. Machine learning is used in object recognition and classification for robots and autonomous vehicles.

Latest in Machine Learning

Email Sign Up

Get news, papers, media and research delivered. Sign up for our free newsletters.

Stay up-to-date with news and resources you need to do your job. Research industry trends, compare companies and get weekly market intelligence with Robotics 24/7.

Robotics 24/7 newsletter

Editors' Picks

The future of CFD is connected, automated, and AI-enabled
The future of CFD is connected, automated, and AI-enabled

From geometry preparation to AI-assisted analysis, integrated CFD workflows…

Festo gets a grip on AI-based picking
Festo gets a grip on AI-based picking

Software-based GripperAI manages mixed picking through basic geometry

How Beckhoff Automation’s EtherCAT and controllers power Dexterity’s Mech ‘superhumanoid’ robot
How Beckhoff Automation’s EtherCAT and controllers power Dexterity’s Mech ‘superhumanoid’ robot

Safety, communication and motion control components enable smooth operation

Automate 2026: Forklifts, physical AI, vision systems and more from day three in Chicago
Automate 2026: Forklifts, physical AI, vision systems and more from day three in Chicago

North America’s largest robotics and automation event winds down