Overview: Data mining tools in 2026 focus on usability, scale, and real business impact.Visual and cloud-based platforms are ...

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

Public safety and efficient urban planning remain pressing challenges in Nigeria. From congested cities to crime hotspots and disaster-prone areas caused mostly by floods, authorities often lack the ...

In an era of escalating environmental crises climate change, desertification, and biodiversity loss traditional methods alone ...

At Carleton University, researchers are addressing a growing demand for advanced systems that enable learners to practice ...

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

Overview: Data science certifications help build practical skills needed across industries in 2026.Courses now focus more on real projects and workplace-ready l ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...