首页|Georgia Institute of Technology Reports Findings in Machine Learning (Screening Environmentally Benign Ionic Liquids for CO2 Absorption Using Representation Unc ertainty-Based Machine Learning)
Georgia Institute of Technology Reports Findings in Machine Learning (Screening Environmentally Benign Ionic Liquids for CO2 Absorption Using Representation Unc ertainty-Based Machine Learning)
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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.”
AtlantaGeorgiaUnited StatesNorth a nd Central AmericaCyborgsEmerging TechnologiesIonic LiquidsMachine Learn ingSolvents
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