Overview AI in soil health analysis enables faster, more accurate assessment of soil conditions using data from sensors, ...

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 ...

Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Imagine you’re at a bustling dinner party filled with laughter, music, and clinking silverware. You’re trying to follow a ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

The national spy watchdog is reviewing the use and governance of artificial intelligence by Canada’s security agencies.

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 ...