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    Research Results from Kangwon National University Update Knowledge of Machine Le arning (Development of an Algorithm for Assessing the Scope of Large Forest Fire Using VIIRS-Based Data and Machine Learning)

    76-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in artificial intelligence. According to news reporting fromSamcheok, South Korea, by NewsRx journalists, research stated, “Forest fires pose a multifaceted threat,encompas sing human lives and property loss, forest resource destruction, and toxic gas r elease. Thiscrucial disaster’s global occurrence and impact have risen in recen t years, primarily driven by climatechange.”

    New Artificial Intelligence Findings from University of Turin Outlined (Do Manag ers Trust Ai? an Exploratory Research Based On Social Comparison Theory)

    77-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Artificial Intell igence are discussed in a new report. Accordingto news reporting originating fr om Turin, Italy, by NewsRx correspondents, research stated, “PurposeThepurpose of this study is to investigate managers’ decision-making processes when evaluat ing suggestionsprovided by human collaborators or artificial intelligence (AI) systems. in which we carried outan experiment manipulating the source type (human vs AI) and assessing the potenti al moderating roleof social comparison orientation.”

    Chongqing Jiaotong University Researcher Describes Advances in Robotics (Researc h Review and Future Directions of Key Technologies for Welding Robots in the Con struction Industry)

    78-79页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on robotics are presented i n a new report. According to news reporting outof Chongqing, People’s Republic of China, by NewsRx editors, research stated, “The rapid developmentof the cons truction industry has highlighted the urgent need for enhanced construction effi ciency andsafety, propelling the development of construction robots to ensure s ustainable and intelligent industryadvancement.”

    Research on Machine Learning Discussed by Researchers at School of Civil and Env ironmental Engineering (Multimodal Machine Learning Guides Low Carbon Aeration S trategies in Urban Wastewater Treatment)

    79-80页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According tonews reporting out of Shenzhen, P eople’s Republic of China, by NewsRx editors, research stated, “Thepotential fo r reducing greenhouse gas (GHG) emissions and energy consumption in wastewater t reatmentcan be realized through intelligent control, with machine learning (ML) and multimodality emerging as apromising solution.”

    Reports from University of Sydney Add New Data to Research in Machine Learning ( Accounting for minimum data required to train a machine learning model to accura tely monitor Australian dairy pastures using remote sensing)

    80-81页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsreporting originating from the University of Sydney by NewsRx correspondents, research stated, “Precisionin gr azing management is highly dependent on accurate pasture monitoring. Typically, this is oftenoverlooked because existing approaches are labour-intensive, need calibration, and are commonly perceivedas inaccurate.”

    Report Summarizes Artificial Intelligence Study Findings from Cardiff University (Industry Exposure To Artificial Intelligence, Board Network Heterogeneity, and Firm Idiosyncratic Risk)

    81-81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 Artificial In telligence have been published. According to newsreporting from Cardiff, United Kingdom, by NewsRx journalists, research stated, “Despite the growingimpact of artificial intelligence (AI) in business, there is little research examining it s effects on firm idiosyncraticrisk (IR). This is an important issue for boards : as key conduits of firm-environment informationflows via board interlock netw orks, traditional risk oversight functions are being increasingly augmentedwith strategic decision-making and communications.”

    Data on Robotics Reported by Emanuelle Felli and Colleagues (Short-term results of robot-assisted pancreatoduodeodenectomy: a retrospective cohort study of 146 patients operated in a highvolume center)

    82-82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 report. According to news reportingoriginating in Strasbourg, France, by NewsRx journalists, research stated, “Pancreaticoduodenectomy (PD)is a challen ging operation because of complex anatomy and difficult and multiple reconstruct ions. RobotassistedPD (RPD) is a novel minimally invasive technique, providing equivalent oncological outcomes toopen surgery.”

    State Key Laboratory of Advanced Special Steel Reports Findings in Machine Learn ing (VASE: A High-Entropy Alloy Short-Range Order Structural Descriptor for Mach ine Learning)

    83-83页
    查看更多>>摘要: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 newsoriginating from Shanghai, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Theshort-range orde r (SRO) structure in high-entropy alloys (HEAs) is closely associated with many properties,which can be studied through density functional theory (DFT) calcula tions. Atomic-scale modelingand calculations require substantial computational resources, and machine learning can provide rapid estimationsof DFT results.”

    Beijing Institute of Technology Reports Findings in Machine Learning (Minimizing Redundancy and Data Requirements of Machine Learning Potential: A Case Study in Interface Combustion)

    84-84页
    查看更多>>摘要: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 in Beijing, Peopl e’s Republic of China, by NewsRx journalists, research stated,“The machine lear ning potential has emerged as a promising approach for addressing the accuracy-versus-efficiency dilemma in molecular modeling. Efficiently exploring chemical s paces with high accuracypresents a significant challenge, particularly for the interface reaction system.”

    Findings on Machine Learning Reported by Investigators at University of Technolo gy Sydney (Fuzzy Machine Learning: a Comprehensive Framework and Systematic Revi ew)

    85-85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 newsoriginating from Sydney, Australia, b y NewsRx editors, the research stated, “Machine learning draws itspower from va rious disciplines, including computer science, cognitive science, and statistics . Althoughmachine learning has achieved great advancements in both theory and p ractice, its methods have somelimitations when dealing with complex situations and highly uncertain environments.”