Support Vector Machines (SVMs) have become a cornerstone of machine learning, widely adopted for their robustness in classification and regression tasks across diverse fields ranging from remote ...

AMD’s next-generation Zen 6 CPU architecture has quietly made its first appearance through an internal developer document, ...

That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

The transformation is documented in the study A Review of Drones in Smart Agriculture: Issues, Models, Trends, and Challenges ...

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...

You’re investing too much to get the basics wrong. Here’s what architecture, infrastructure, and networking look like when ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

AI shapes daily life but remains unreliable and costly. Canada can lead by investing in the mathematics that make these systems fair, efficient and trusted.

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

The cybersecurity landscape in 2026 presents unprecedented challenges for organizations across all industries. With cybercrime damages projected to exceed $10.5 trillion annually, enterprises face ...