An international research team developed CyberSentry, a software framework using advanced deep learning and optimization techniques to enhance cybersecurity in SCADA systems for power plants and ...

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...

High‑NA EUV's reduced field size is driving new innovation in optical proximity correction and mask synthesis.

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

AI is rapidly reshaping the landscape of surgical oncology. However, its true potential lies not in isolated tools, but rather ...

Ulcerative colitis (UC) is a chronic, immune-mediated inflammatory disorder of the colon that follows a relapsing-remitting course. Characterised by mucosal inflammation, the disease requires accurate ...

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 ...

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

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

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

Researchers from UC Berkeley, Yale, Stanford’s Global Policy Laboratory, and NBER developed a deep learning method to predict ...

Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing ...