首页|Data from University of Science and Technology China Provide New Insights into M achine Learning (Cross-modal Prediction of Spectral and Structural Descriptors V ia a Pretrained Model Enhanced With Chemical Insights)
Data from University of Science and Technology China Provide New Insights into M achine Learning (Cross-modal Prediction of Spectral and Structural Descriptors V ia a Pretrained Model Enhanced With Chemical Insights)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Anhui, People’s Repub lic of China, by NewsRx journalists, research stated, “Proposing and utilizing m achine learning descriptors for chemical property prediction and material screen ing have become a cutting-edge field in artificial intelligence-enabled chemical research. However, a single descriptor typically captures only partial features of a chemical object, resulting in an information deficiency and limiting gener alizability.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Innovation Program for Quantum Science and Technology, CAS P roject for Young Scientists in Basic Research.
AnhuiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningUniversity of Science and Tec hnology China
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