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

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience ...

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

Traditional water management approaches are increasingly unfit for modern pressures. Periodic manual measurements, delayed ...

MayimFlow, the Built World stage winner at this year’s TechCrunch Disrupt, is a good example. The startup is focused on ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

This next-generation of autonomous command centres is part of a flexible suite of autonomous C2 from containerised solutions ...

Jane Marsh, Editor-In-Chief at Environment.co, explores how advanced data analytics and digital technologies can revitalise ...

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

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...