在探索趋同性状遗传基础时，现有研究面临结果不一致、缺乏定量模型等问题。研究人员开展了 “Evolutionary sparse learning reveals the shared genetic basis of convergent traits” 主题研究，运用 ESL - PSC 方法，发现趋同性状存在显著遗传共性，为揭示性状趋同遗传基础提供新 ...

An international team of researchers, affiliated with UNIST has unveiled a novel technology that could improve the learning ability of artificial neural networks (ANNs). Professor Hongsik Jeong and ...