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 ...

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

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

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 ...

IP that’s built on a RISC-V vector processing CPU. The platform has been augmented to support artificial-intelligence/machine-learning (AI/ML) models including large language models (LLMs). I talked ...

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

GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...

Highlights Confirmation of Adelita as a large porphyry-skarn mineral system with vertically extensive feeder structures ...

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 ...