Traditional teaching methods may not fully prepare students for the digital era. A recent discussion explores how AI-driven strategies can enhance learning outcomes and engagement. It examines adaptive learning platforms, intelligent tutoring systems, and AI-assisted assessments, highlighting their role in personalizing instruction and improving student performance. By integrating these technologies, educators can reshape modern classrooms. This discussion provides insights into the transformative potential of AI in education.

A study published in Engineering provides a comprehensive review of actuation and locomotion methods for miniature underwater robots (MURs). Titled "Actuation and Locomotion of Miniature Underwater Robots: A Survey," the research summarizes key propulsion technologies, evaluates their advantages and challenges, and explores future trends in MUR development for underwater exploration and marine applications.

The National Institute of Standards and Technology (NIST) has selected FAU’s Hamming Quasi-Cyclic (HQC) algorithm for standardization in its Post-Quantum Cryptography project. HQC was chosen for its security, efficiency and practical implementation in secure key exchange, which protects digital communications and ensures safe encryption against future quantum computing threats. FAU is the only U.S. university involved among all the authors of the two, winning key-encapsulation mechanism schemes selected by NIST, highlighting its prominent role in the field of post-quantum cryptography.

Energy sector decarbonization is a key battleground in China’s march toward carbon neutrality, and understanding what it means and takes is crucial for its policy-making and sustainable implementation. Here we analyze the structural challenges and review the necessary supporting technologies and systems of energy sector decarbonization in China. This work could achieve a better understanding of technology development and deployment, and to make more thoughtful policy recommendations.

Dr. Dong Hyuk Chun and his research team from the Clean Air Research Laboratory at the Korea Institute of Energy Research (KIER), led by President Chang-keun Yi, have developed a technology that efficiently manages volatile organic compounds (VOCs) emitted from small-scale businesses and recycles them with lower energy consumption compared to existing methods.

The CCT sensitivity calculation method proposed in this study provides a new tool for stability analysis in power systems with a high proportion of power electronic devices. By considering the effects of current limiting and control switching, as well as scenarios where stability boundaries are controlled by periodic orbits (POs), the method quantifies the impact of various parameters on system stability and offers guidance for adjusting inverter control parameters. Future research could further refine the CCT calculation method and integrate CCT sensitivity into optimization models to enhance system stability through improved inverter control strategies.