Machine Learning systems, also called models, are trained by humans to use an algorithm to classify and analyze data, make predictions, and take actions of limited complexity.

Machine learning algorithms are at the core of smartphones and online services like ChatGPT and YouTube. Here's how the technology works.

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity ...

As a technical discipline, the field of AI began in the mid-20th century. In 1950, British mathematician Alan Turing proposed ...

Machine learning interview questions now focus on both theory and real-world applications.Understanding basics like ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Machine learning required enormously powerful computers capable of handling vast amounts of information. It takes millions of images of dogs for these algorithms to be able to tell a dog from a cat.

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