摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑-每日新闻-关于机器学习的最新研究结果已经发表。根据NewsRx编辑来自印度昌迪加尔的新闻报道，这项研究表明：“与实验方法和传统的从头算方法和量子力学方法相比，基于机器学习的统计模型在提高预测化合物化学和物理性质的速度和准确性方面发挥了重要作用。这些技术带来的变革影响，"化学科学领域彻底改变了实验设计的方式."这项研究的财政支持来自科学技术部（印度）。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news reporting originating from Chandigarh , India, by NewsRx editors, the research stated, "Machine learning based statist ical models have played a significant role in increasing the speed and accuracy with which the chemical and physical properties of chemical compounds can be pre dicted as compared to the experimental, and traditional ab initio and quantum me chanical approaches. The transformative impact that these techniques have, in th e field of chemical sciences has completely changed the way experiments are desi gned." Financial support for this research came from Department of Science & Technology (India).
NETL
NSTL