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 ...

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

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 ...

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

Struggling to learn machine learning? This video breaks down the most efficient learning strategies and tips to help you ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

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 ...

Discover the 10 best Infrastructure as Code (IaC) tools for DevOps teams in 2025. Learn how these tools enhance automation, stability, and scalability in cloud environments. Improve your deployment ...

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 ...

Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...