Overview Books provide a deeper understanding of AI concepts beyond running code or tutorials.Hands-on examples and practical ...

For rare diseases, AI-driven repurposing fills a critical gap. With more than 7000 rare diseases and only a small percentage ...

Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide, and CT imaging plays a crucial ...

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity. It detects small electrical signals produced when neurons in the brain ...

From deep learning for medical research to a variety of self-service knowledge agents, D-FW companies continue to up their ...

The AI revolution is bringing with it a whole new vocabulary to describe its advances. This glossary will help you stay up-to ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

An NIH-funded study found deep learning tools could forecast next-day relapse risk with high accuracy, giving clinicians time ...

Thinking of diving into deep learning in 2025? Here's how I'd start today—from foundational concepts to cutting-edge tools. AI is evolving fast, but it's never too late to get in. #DeepLearning2025 ...

Abstract: Significant advancements in deep learning have been made possible by the utilization of large datasets, underscoring the critical importance of copyright protection. Adding meticulously ...

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...