A novel real-time automated damage detection method leveraging reinforcement learning has been unveiled in a recent study published in Engineering. The research, spearheaded by Chengwen Zhang, Qing Chun, and Yijie Lin from Southeast University, China, introduces an innovative approach that significantly enhances the efficiency and accuracy of damage detection in structural health monitoring (SHM) systems, particularly for architectural heritage.

This article reviews a study on greenhouse gas emissions from combined sewer overflows and explores strategies for mitigating these emissions to achieve carbon neutrality in urban water systems. It highlights the importance of integrated, low-carbon management solutions and the potential of data-driven technologies in addressing this environmental challenge.

Plants are constantly under siege by pathogens, and their survival depends on precise internal defense strategies. 

In a recent study published in Engineering, researchers have unveiled a novel programmable spin-logic gate that operates without the need for initialization. By integrating spin-orbit torque (SOT) with an in-plane Oersted field generated by an Au line, this device can perform complete Boolean logic operations in a single step, offering a new approach for in-memory computing architectures. The findings highlight the potential for non-volatile spin-logic devices to enhance processing efficiency and scalability in future computing systems.

This article explores the latest advancements in ultrafast laser nanofabrication, a critical field driving miniaturization in chip manufacturing, nanophotonics, and quantum devices. It examines both near-field and far-field laser techniques, highlighting their mechanisms, applications, and limitations. The piece also discusses ongoing challenges, such as achieving high-aspect-ratio processing and sub-10 nm feature sizes, and outlines potential solutions and future directions.