Fiber-optic ATR-IR spectroscopy enables real-time liver tumor classification during surgery, offering faster and more ...

Machine learning interview questions now focus on both theory and real-world applications.Understanding basics like ...

The system is structured around a client-server architecture designed to provide scalability, remote accessibility, and ...

A new approach to financial risk management combines ensemble machine learning algorithms with traditional financial theory to enhance systemic risk prediction. By integrating data-driven modeling ...

Fault Detection and Classification Market is projected to hit USD 12.7 bn by 2033, driven by a robust CAGR of 9.3% over the ...

With the release of UltraMap 6.6, Vexcel Imaging has introduced significant improvements to the generation of digital terrain ...

Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion remains a formidable technical hurdle. A new global study takes on this ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical changes and corrosion. The framework enables more accurate, data-driven ...

The integration of UAVs and AI is enabling faster, safer, and more scalable ecological surveillance. Multirotor drones offer ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity may help explain how ...