The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and ...

This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...

Satellite imagery and machine learning are helping miners narrow drill targets, cut extra field time and make earlier calls ...

Artificial intelligence is now sorting through telescope data at a pace no human team could match, and the results go beyond efficiency gains. Machine learning classifiers have confirmed hundreds of ...

Defect" manufacturing has transitioned from a lofty goal to a baseline requirement. As production speeds reach unprecedented levels and components shrink to microscopic scales, traditional manual ...

Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...

Foundational Breakthroughs in AI Papers 2019 2019 saw the release of some truly game-changing research papers in ...

The rapid development of artificial intelligence (AI) technology has become a cornerstone of multidisciplinary research worldwide, establishing a new paradigm of "AI for Science." AI is progressively ...

By integrating nanosensors with AI, a new IoNT framework enhances real-time water quality monitoring, outperforming traditional models in both accuracy and efficiency.

How do sports forecasts work, and what separates a reliable prediction from noise? From Premier League title odds to NBA ...

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to ...

A new study reports a ViT-YOLOv8 framework for smoke and fire detection, achieving 98.5% precision and improving early ...