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    Studies from Clemson University Have Provided New Data on Machine Learning [Automated Prioritization of Construction Project Requirements Using Machine Lear ning and Fuzzy Failure Mode and Effects Analysis (Fmea)]

    85-86页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting out of Clemson, South Carolina, by N ewsRx editors, research stated, “Due to the emergence of risk-based verification practices, requirement prioritization has gained importance as a task in projec t requirements management. However, it is challenging due to the voluminous pape r-based requirements, the reliance on manual content analysis and interviews, th e limited focus on specific requirement types, and the neglect of the non-confor mance detectability factor.”

    New Machine Learning Findings Has Been Reported by Investigators at Ain Shams Un iversity (Machine Learning Approach for Core Permeability Prediction From Well L ogs In Sandstone Reservoir, Mediterranean Sea, Egypt)

    86-87页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Cairo, Egypt, by News Rx journalists, research stated, “Precise reservoir description is crucial for t he proper evaluation of reservoirs. The ability to predict permeability is key t o successful reservoir characterization.”

    University of Wisconsin Milwaukee Reports Findings in Machine Learning [Using a Novel Multiplexed Algal Cytological Imaging (MACI) Assay and Machine Lea rning as a Way to Characterize Complex Phenotypes in Plant-Type Organisms]

    87-88页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Milwaukee, Wisconsin, by NewsRx journalists, research stated, “High-throughput phenotypic profiling assa ys, popular for their ability to characterize alternations in single-cell morpho logical feature data, have been useful in recent years for predicting cellular t argets and mechanisms of action (MoAs) for different chemicals and novel drugs. However, this approach has not been extensively used in environmental toxicology due to the lack of studies and established methods for performing this kind of assay in environmentally relevant species.”

    New Artificial Intelligence Study Findings Recently Were Published by Researcher s at University of Ostrava (The political and social contradictions of the human and online environment in the context of artificial intelligence applications)

    88-89页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Milwaukee, Wisconsin, by NewsRx journalists, research stated, “High-throughput phenotypic profiling assa ys, popular for their ability to characterize alternations in single-cell morpho logical feature data, have been useful in recent years for predicting cellular t argets and mechanisms of action (MoAs) for different chemicals and novel drugs. However, this approach has not been extensively used in environmental toxicology due to the lack of studies and established methods for performing this kind of assay in environmentally relevant species.”

    Research from NMIMS University Provides New Study Findings on Artificial Intelli gence (Impact of artificial intelligence on Indian economy)

    89-89页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting out of Maharashtra, India, by News Rx editors, research stated, “This study looks into how artificial intelligence (AI) is changing the managerial and economic landscape in India.”

    Findings from China Three Gorges University Yields New Data on Support Vector Ma chines (Landslide Susceptibility Prediction By Gray Wolf Optimized Support Vecto r Machine Model Under Different Factor States)

    89-90页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Support Vector Machine s is the subject of a report. According to news originating from Yichang, People ’s Republic of China, by NewsRx correspondents, research stated, “Landslide susc eptibility prediction (LSP) is crucial for hazard prevention and geological risk assessment. Support vector machine (SVM) is widely used for LSP, but its parame ter optimization problem affects the prediction accuracy and generalization abil ity of the model, and variations in parameter combinations may result in differe nt prediction outcomes, which brings some challenges to the application of the m odel.”

    Research Data from Dalarna University Update Understanding of Machine Learning ( A Deep Semi-supervised Machine Learning Algorithm for Detecting Transportation M odes Based On Gps Tracking Data)

    90-91页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Machine Learn ing. According to news reporting originating from Falun, Sweden, by NewsRx corre spondents, research stated, “Transportation research has benefited from GPS trac king devices since a higher volume of data can be acquired. Trip information suc h as travel speed, time, and most visited locations can be easily extracted from raw GPS tracking data.”

    Findings from Jaume I University Has Provided New Data on Machine Translation (B eyond the Black Mirror Effect: the Impact of Machine Translation In the Audiovis ual Translation Environment)

    91-92页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Translation. According to news originating from Castellon de la Plana, Spain, b y NewsRx correspondents, research stated, “In an increasingly globalized world, technological advancements and artificial intelligence (AI) have catalysed the p roliferation of audiovisual productions and their translation, leading to new dy namics in the professional landscape. Tools and practices such as machine transl ation (MT) and post-editing (PE) are becoming widespread, augmenting and diversi fying translators’ tasks and creating new professional profiles and educational needs.”

    Studies from Rutgers University-Newark Reveal New Findings on Artificial Intelli gence (Artificial Intelligence: Arguments for Catastrophic Risk)

    92-93页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Artificial Intelligen ce have been presented. According to news reporting originating in Newark, New J ersey, by NewsRx journalists, research stated, “Recent progress in artificial in telligence (AI) has drawn attention to the technology’s transformative potential , including what some see as its prospects for causing large-scale harm. We revi ew two influential arguments purporting to show how AI could pose catastrophic r isks.”

    Researchers from University of Hamburg Report Recent Findings in Robotics (Langu age-model-based Paired Variational Autoencoders for Robotic Language Learning)

    93-94页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news originating from Hamburg, Germany, by NewsRx correspon dents, research stated, “Human infants learn the language while interacting with their environment in which their caregivers may describe the objects and action s they perform. Similar to human infants, artificial agents can learn the langua ge while interacting with their environment.”