Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Developed using Anthropic’s Claude AI model, the new language is intended to provide memory safety without garbage collection ...

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 ...

Overview: Data mining tools in 2026 focus on usability, scale, and real business impact.Visual and cloud-based platforms are ...

For safety-critical and highly regulated situations such as advanced driver assistance systems (ADAS) and automated driving ...

When I was new to programming, I focused way too much on learning the syntax, especially the brackets, the semicolons, and ...

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 ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Best test management tools for QA testers seeking AI-driven test management software and scalable test management systems to ...

This is where the spelling debate gets more interesting. When we talk about AI, for instance, does "high tech" still capture ...