Two advanced predictive machine learning algorithms developed by researchers in England significantly improved the ability of ...

Wastewater surveillance became a popular choice among public health officials looking to track rapid virus mutations and ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ... in which they present an analysis of deception detection techniques ...

Surveillance has come a long way from the watchful eyes of security guards to the all-seeing lenses of today's cameras.

The Machine Learning Development Market is expected to grow from USD 35.0 billion in 2023 to USD 942.4 billion by 2033, with ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle ...

A sleep apnoea detection feature has been launched by Apple in Australia supported on Apple Watch Series 9, 10 and ... Read ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Key Takeaways Modern bot detection blends behavior tracking, device fingerprinting, and smart machine learning to spot ...

AI-based anomaly detection helps engineers identify potential problems early, to improve process efficiency, says Rachel ...