Researchers from the Hefei Institutes of Physical Science at the Chinese Academy of Sciences have introduced a high-tech drowning prevention and rescue system at a popular scenic water area. Developed by Dr. YU Daoyang’s team, this AI-driven system integrates artificial intelligence, robotics, and big data to provide continuous monitoring, early warnings, and autonomous rescue capabilities, aiming to significantly reduce drowning risks.
A research team led by Prof. XIE Chengjun and ZHANG Jie from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed a frequency domain-independent feature learning framework. This innovative solution allows for better representation and fusion of different types of remote sensing images.
A research team led by Prof. Lin Hao from the High Magnetic Field Laboratory (HMFL) at the Hefei Institutes of Physical Science, Chinese Academy of Sciences, in collaboration with multiple international research teams, has successfully achieved an atomically controlled insulator-to-metal transition in iridate/manganate heterostructures.
Recently, the research team led by Professor WU Yuejin from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, discovered the RGL2 gene, which influenced rice grain length by regulating cell proliferation, providing new genetic resources for high-yield breeding of rice.
Recently, a research group led by Prof. HUANG Chaoqun from the Hefei lnstitutes of Physical Science of the Chinese Academy of Sciences, developed an innovative dual drift tube ion mobility spectrometry (DDT-IMS) technology. This novel approach has successfully facilitated the rapid detection of both positive and negative ions of four toxic metabolites derived from TNT, allowing for the detection of residual metabolites in the human body and providing valuable health warnings.