A research team led by Prof. LIU Lizhuang from the Shanghai Advanced Research Institute of the Chinese Academy of Sciences proposed a deep learning model named TransLNP based on self-attention mechanisms, which maps the three-dimensional microstructure and biochemical properties of mRNA-LNPs to enable high-precision automated screening of LNPs.
Researchers from USTC proposed a novel design methodology for Gaussian random number generators tailored for SerDes simulation systems, making a progress in hardware GRN generation algorithms.
A research team led by Dr. LI Yingtian from the Shenzhen Institute of Advanced Technology has proposed a novel type of soft gripper based on reprogrammable bistable actuator, which allows precise control over diverse sensitivities, and offers multiple gripping modes and adjustable response speeds through straightforward reprogramming.
A research team led by Prof. LI Zhicheng from the Shenzhen Institute of Advanced Technology has proposed an integrated diagnosis model for automatic classification of adult-type diffuse gliomas directly from annotation-free standard whole-slide pathological images without requiring molecular test.
Researchers from the Aerospace Information Research Institute have proposed an improved algorithm called Dynamic Quantum Particle Swarm Optimization to improve the accuracy and reliability of pressure sensors used in tracking and monitoring wild migratory birds.
A research team led by Prof. LI Zhicheng from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences has developed an artificial intelligence-based model that significantly improves the prediction of lymph node metastasis stages in patients with gastric cancer.
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