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 ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

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

Overview: AI skills in 2026 require both technical understanding and the ability to apply them responsibly at work.Machine ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

The Vector Institute and Intellectual Property Ontario (IPON) have signed a memorandum of understanding (MOU) to enhance ...

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

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Integrated structural and functional MRI identifies brain-based biomarkers that distinguish active from remissive Crohn’s ...