An international reserch team developed two deep learning-based IDS models to enhance cybersecurity in SCADA systems. The ...

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

Before ripping out reliable hydraulic and pneumatic equipment, learn how protocol gateways, digital twins and predictive ...

The rapid evolution of Global Navigation Satellite Systems (GNSS) is marked by the expansion of multi-frequency signals, the proliferation of constellations ...

Introduction In an era where data drives decision-making, the integrity of polling has never been more critical. Recent revelations of ...

In this piece Osvaldo Aldao, Chief Technology, Strategy, and Product Officer at Enea, explores the mobile industry’s growing ...

Databricks Launches Lakewatch Cybersecurity Platform Ahead of IPO Introduction As organizations increasingly rely on data ...

CERN is nothing like today's agentic AI jockeys, who mostly rely on pre-set weights and generic TPUs and GPUs to generate their slop. CERN burns custom nanosecond-speed AI into the silicon itself just ...

MacroMT, the technology platform under Macro Technology Group, today officially announced the completion of a new upgrade to its large-scale data model ...

Overview:  Data science projects are driving innovation across industries like healthcare, finance, and climate science.AI ...

Abstract: Video anomaly detection (VAD) aims to discover behaviors or events deviating from the normality in videos. As a long-standing task in the field of computer vision, VAD has witnessed much ...