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

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

AI algorithms, trained on historical data reflecting men's sports dominance, may be gatekeeping sports content on social ...

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.

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

Key market opportunities in camera image signal processors include optimizing AI-driven processing for diverse conditions, meeting demands in automotive, medical, and smartphone sectors, and ...

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

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

In art, brush marks can be seen as a flaw or the signature of a noted painter. Similarly, what appears to be operational ...

US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...