Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...
Coming to benchmarks, the company conducted internal testing and claimed that Claude Opus 4.5 outscored rivals in code-based ...
Exploring Machine Learning Algorithms for Malicious Node Detection Using Cluster-Based Trust Entropy
Abstract: Machine learning has, over the decades, ushered in a dramatic transformation across a range of sectors, including network security. Security experts agree that the potential of machine ...
Abstract: Distributed Denial of Service (DDoS) threats in Smart Grid are very challenging and considered one of the most destructive cyber-attacks. They are harmfully affecting the power sector and ...
The project will build upon CSIRO’s expertise in the field of QML to develop new and innovative QML models. QML has the potential to offer enhanced reliability, training speed-up and unique feature ...
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