AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...

Researchers from Skoltech Engineering Center's Hierarchically Structured Materials Laboratory have developed a new method to ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Apple continues to focus on AI-powered image modification, with new studies detailing evaluation frameworks and an AI model ...

Digital Twin of the Ocean is a continuously updated virtual counterpart of the real ocean that exchanges data in real time ...

In contrast to machine learning (ML), machine unlearning is the process of removing certain data or influences from models as the need arises.