Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Understanding how threat hunting differs from reactive security provides a deeper understanding of the role, while hinting at how it will evolve in the future.

Abstract: The proliferation of large-scale Internet of Things (IoT) networks introduce significant challenges for real-time anomaly detection, particularly due to the massive volume, high speed, and ...

As organizations continue to move their systems to the cloud, they face a tough question: How do you keep an eye on everything happening in your ...

The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence solutions and strengthen decision-making capabilities using data.

As digital ecosystems expand across industries, so does the threat surface they expose. For Dr. Karthik Kambhampati, a Principal Software Engineer and Salesforce Architect, that challenge has become ...

An Industrial IoT (IIoT) predictive maintenance system that simulates factory equipment, monitors sensor data in real-time, and uses Machine Learning to predict equipment failures before they happen ...

Abstract: Anomaly detection has a significant impact on applications such as video surveillance, medical diagnostics, and industrial monitoring, where anomalies frequently depend on context and ...

Information and communication technology (ICT) is crucial for maintaining efficient communications, enhancing processes, and enabling digital transformation. As ICT becomes increasingly significant in ...