AI-powered model enhances atmospheric calibration precision for astronomical observation and geodetic measurement

Researchers from the Xinjiang Astronomical Observatory of the Chinese Academy of Sciences have developed a hybrid deep ...

Algorithm precisely quantifies flow of information in complex networks

Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically ...
Frontiers

Trustworthy and Explainable Machine Learning for Human-Aligned Robotics and Intelligent Systems

With the rapid advancement of robotics, intelligent sensing, and autonomous decision-making, robotic and AI systems are increasingly influencing human life ...
AZoNano on MSN

Electron Microscopy Reveals Novel Technique to Produce High-Entropy Alloys

Scientists have developed an efficient technique to create customized high-entropy alloys - exceptionally strong, resilient ...
IEEE

Cross-Entropy Firefly Algorithm-Assisted Deep Reinforcement Learning for Flexible Flow Shop Scheduling Problems

Abstract: The Flexible Flow Shop Scheduling Problem (FFSP) involves scheduling jobs across multiple machines with flexible operation sequences. As an NP-hard problem with discrete variables and ...