This review synthesizes the evolution of aquatic ecosystem health assessment and proposes a paradigm shift from descriptive monitoring to predictive, intelligent governance. Led by Yong Liu from Peking University, the research team introduces a gene-to-landscape framework that integrates multi-omics, environmental DNA, ecological observation, and AI-enabled remote sensing to enable early warning, causal attribution, and anticipatory decision support for freshwater ecosystems under global change.

A Harbin Institute of Technology team proposes a mixed-frequency heterodyne demodulation architecture for dual-gas LITES sensing using a single quartz tuning fork. The sensor achieves low-crosstalk simultaneous detection of methane and acetylene, simplifying system design for cost-effective industrial safety and environmental monitoring.

This review summarizes flexible electromagnetic induction-type tactile sensors that convert touch-induced magnetic-flux variation into electrical signals. It establishes an integrated framework linking magnets, coils, soft materials, signal processing and circuits, and discusses their relevance to wearable electronics, medical monitoring, human-machine interfaces and intelligent robotics.

POSTECH develops ‘stealth’ anticancer nanoparticles made from mussel adhesive proteins that 'lie in wait and attack only cancer cells'.

A research team led by Professor Changick Kim from the School of Electrical Engineering has developed “Buffer-and-Reinforce,” a framework that preserves AI safety even after personalized fine-tuning.

The framework achieves both personalized performance and safety — a key challenge in the era of AI personalization — and the study was selected as a Spotlight paper at ICML 2026, placing it among the top 2.2% of submissions.