From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

Let’s be honest—alert fatigue is real, and it’s relentless. Security teams are bombarded with thousands of notifications ...

This year’s winner of Best use of machine learning/AI, ActiveViam stood out for delivering a practical, production-ready ...

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience ...

How Does a Smart AI System Enhance Managing Secrets in Cybersecurity? Have you ever wondered how a smart AI system revolutionizes the way we manage secrets in cybersecurity? The evolution of ...

Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

In the vast expanse of our universe, one question has captivated humanity for generations: are we alone? This profound inquiry has driven scientific exploration for decades, but recent technological ...

Context-aware computing refers to systems that adapt automatically to their surroundings using data from sensors, user behavior, and environmental inputs.