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-机器学习的新研究是一篇报道的主题。据新闻报道来自亚特兰大的报道，Geo RGIA，由NewsRx记者报道，研究称，“筛选离子使用机器学习(ML)模型的低粘度、低毒性和高CO吸收液体(ILs)对减缓全球变暖至关重要。然而，当候选IL落入ML模型，预测可能变得不可靠，导致决策失误。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating from Atlanta, Geo rgia, by NewsRx correspondents, research stated, “Screening ionicliquids (ILs) with low viscosity, low toxicity, and high CO absorption using machine learning (ML) modelsis crucial for mitigating global warming. However, when candidate IL s fall into the extrapolation zone ofML models, predictions may become unreliab le, leading to poor decision-making.”
NETL
NSTL