Anomaly detection involves methods that assist in identifying data points or occurrences that differ from the anticipated behavior patterns.

A recent MIT Technology Review survey revealed that 64% of manufacturers are exploring AI to enhance product quality. With ...

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

See IDS and anomaly. (2) Detecting data that lie outside the normal range. Also called "outlier detection." THIS DEFINITION IS FOR PERSONAL USE ONLY. All other reproduction requires permission.

Nathan Charles discusses how cybercriminals are no longer just targeting IT networks, they are also targeting the robots and industrial equipment that keep factories running.

As Internet of Things (IoT) devices proliferate in sectors like smart cities, health care, and industrial systems, they have ...

AVEVA, a global powerhouse in industrial software, has teamed up with ServiceNow, a leading AI platform for business transformation, to spearhead a new era of industrial innovation, according to a ...

Dr. Adepu added: “This work discovers how WaXAI is revolutionizing anomaly detection in industrial systems with explainable AI. By integrating XAI, human operators gain clear insights and ...

Bridges gap between AI and traditional industry, enabling manufacturing, energy, logistics, and other companies in the ...