Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

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

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

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.

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

Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

India Talent Trends Report 2025 highlights rising demand for AI, data science, and cybersecurity skills, with salary hikes ...

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

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 ...

Overview: AI tools for traders in 2026 leverage machine learning, pattern recognition, real-time data processing, and ...