摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员讨论机器学习的新发现。根据新闻报道源于中国人民代表大会湖南，由NewsRx记者报道，研究称，“机器”学习作为人工智能的一个重要分支为人类提供了有效的指导通过在数据和期望的有限元之间建立虚拟映射进行设计，从而减少周期材料发现和合成的关键。然而，机器学习在材料科学中的应用还很少受到数据SCA RCITY的阻碍。
Abstract
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.”
NETL
NSTL