首页|Findings in Machine Learning Reported from Xiangtan University(Development and Application of Few-shot Learning Methods In Materials Science Under Data Scarcit y)
Findings in Machine Learning Reported from Xiangtan University(Development and Application of Few-shot Learning Methods In Materials Science Under Data Scarcit y)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingoriginating in Hunan, People’s Rep ublic of China, by NewsRx journalists, research stated, “Machinelearning, as a significant branch of artificial intelligence, has provided effective guidance f or materialdesign by establishing virtual mappings between data and desired fea tures, thereby reducing the cycleof material discovery and synthesis. However, the application of machine learning in materials science ishindered by data sca rcity.”
HunanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningXiangtan University
NETL
NSTL
