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    New Findings from University of Chile Update Understanding of Machine Learning ( Detecting and Mitigating the Clever Hans Effect In Medical Imaging: a Scoping Re view)

    34-34页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating from Santiago, Chile, by NewsRx correspondents, research stated, “The Clever Hanseffect occurs when machine learning models rely on spurious correlations instead of clinicall y relevantfeatures and poses significant challenges to the development of relia ble artificial intelligence (AI) systemsin medical imaging. This scoping review provides an overview of methods for identifying and addressingthe Clever Hans effect in medical imaging AI algorithms.”

    New Findings from University of Chile Update Understanding of Machine Learning ( Detecting and Mitigating the Clever Hans Effect In Medical Imaging: a Scoping Re view)

    34-34页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating from Santiago, Chile, by NewsRx correspondents, research stated, “The Clever Hanseffect occurs when machine learning models rely on spurious correlations instead of clinicall y relevantfeatures and poses significant challenges to the development of relia ble artificial intelligence (AI) systemsin medical imaging. This scoping review provides an overview of methods for identifying and addressingthe Clever Hans effect in medical imaging AI algorithms.”

    Northeastern University Reports Findings in Robotics (Study On Microstructure Ev olution and Recrystallization Behavior of Nickelbased Superalloy Robot Abrasive Belt Grinding Surface Under Hightemperature Exposure)

    35-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s. According to news originating from Shenyang,People’s Republic of China, by N ewsRx correspondents, research stated, “The interference between gritsand workp iece material during the nickel-based superalloy robot abrasive belt grinding pr ocess can causeplastic deformation on the grinding surface, and the evolution o f surface deformation microstructure underhigh-temperature conditions can affec t the surface properties of superalloys. Therefore, a high-temperatureexposure experiment is devised in this paper, and electron backscatter diffraction (EBSD) and scanningelectron microscopy (SEM) are used as characterization methods to study the microstructure evolutioncharacteristics and recrystallization behavio r of nickel-based superalloy robot abrasive belt grinding surfaceunder high-tem perature exposure.”

    Northeastern University Reports Findings in Robotics (Study On Microstructure Ev olution and Recrystallization Behavior of Nickelbased Superalloy Robot Abrasive Belt Grinding Surface Under Hightemperature Exposure)

    35-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s. According to news originating from Shenyang,People’s Republic of China, by N ewsRx correspondents, research stated, “The interference between gritsand workp iece material during the nickel-based superalloy robot abrasive belt grinding pr ocess can causeplastic deformation on the grinding surface, and the evolution o f surface deformation microstructure underhigh-temperature conditions can affec t the surface properties of superalloys. Therefore, a high-temperatureexposure experiment is devised in this paper, and electron backscatter diffraction (EBSD) and scanningelectron microscopy (SEM) are used as characterization methods to study the microstructure evolutioncharacteristics and recrystallization behavio r of nickel-based superalloy robot abrasive belt grinding surfaceunder high-tem perature exposure.”

    Research from Mae Fah Luang University in Machine Learning Provides New Insights (Acoustic response discrimination of phulae pineapple maturity and defects usin g factor analysis of mixed data and machine learning algorithms)

    36-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on artificial intelligence are present ed in a new report. According to news originatingfrom Chiang Rai, Thailand, by NewsRx correspondents, research stated, “Acoustic response isnon-destructive ev aluation technique that replicates the conventional method for determining matur ityby tapping the fruit.”

    Research from Mae Fah Luang University in Machine Learning Provides New Insights (Acoustic response discrimination of phulae pineapple maturity and defects usin g factor analysis of mixed data and machine learning algorithms)

    36-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on artificial intelligence are present ed in a new report. According to news originatingfrom Chiang Rai, Thailand, by NewsRx correspondents, research stated, “Acoustic response isnon-destructive ev aluation technique that replicates the conventional method for determining matur ityby tapping the fruit.”

    Royal Melbourne Institute of Technology - RMIT University Reports Findings in Ma chine Learning (Predicting maternal risk level using machine learning models)

    37-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reporting fromVictoria, Australia, by NewsRx jour nalists, research stated, “Maternal morbidity and mortality remain critical heal th concerns globally. As a result, reducing the maternal mortality ratio (MMR) i s part of goal3 in the global sustainable development goals (SDGs), and previou sly, it was an important indicator in theMillennium Development Goals (MDGs).”

    New Data from Council of Scientific and Industrial Research (CSIR) Illuminate Re search in Robotics (Enhancing indoor place classification for mobile robots usin g RGB-D data and deep learning architectures)

    37-37页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on robotics is the subjec t of a new report. According to news originatingfrom the Council of Scientific and Industrial Research (CSIR) by NewsRx editors, the research stated,“Place cl assification is crucial for a robot’s ability to make high- level decisions. Whe n a robot canidentify its operating environment, it can provide more appropriat e services.”

    Royal Melbourne Institute of Technology - RMIT University Reports Findings in Ma chine Learning (Predicting maternal risk level using machine learning models)

    37-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reporting fromVictoria, Australia, by NewsRx jour nalists, research stated, “Maternal morbidity and mortality remain critical heal th concerns globally. As a result, reducing the maternal mortality ratio (MMR) i s part of goal3 in the global sustainable development goals (SDGs), and previou sly, it was an important indicator in theMillennium Development Goals (MDGs).”

    New Data from Council of Scientific and Industrial Research (CSIR) Illuminate Re search in Robotics (Enhancing indoor place classification for mobile robots usin g RGB-D data and deep learning architectures)

    37-37页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on robotics is the subjec t of a new report. According to news originatingfrom the Council of Scientific and Industrial Research (CSIR) by NewsRx editors, the research stated,“Place cl assification is crucial for a robot’s ability to make high- level decisions. Whe n a robot canidentify its operating environment, it can provide more appropriat e services.”