Market growth is driven by industrial automation, predictive maintenance demand, AI/ML analytics adoption, IoT integration, and the need to reduce downtime and operational costs.Austin, Jan. 27, 2026 ...

There is often no straightforward explanation for the various types of violence that occur around the world. In fact, even when using clear definitions (such as “Civil War,” “Invasion,” or “Local ...

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

New TMS biomarkers combined with machine learning accurately classified major depressive disorder. Learn more about this ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified blueprint for researchers to navigate classification, clustering, ...

Are Organizations Prepared for the Challenges of Non-Human Identities? Understanding Non-Human Identities in Cybersecurity How do organizations safeguard their machine identities? One emerging focus ...

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Smartphone cameras are leaning hard on AI, but is it helping or hurting image quality? I look at why hardware still matters ...