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    Research in the Area of Machine Translation Reported from Shenyang Ligong Univer sity (Recent Advances in Interactive Machine Translation With Large Language Mod els)

    84-84页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on ma chine translation. According to news originatingfrom Shenyang, People’s Republi c of China, by NewsRx editors, the research stated, “This paper exploresthe rol e of Large Language Models (LLMs) in revolutionizing interactive Machine Transla tion (MT),providing a comprehensive analysis across nine innovative research di rections.”

    Research in the Area of Machine Translation Reported from Shenyang Ligong Univer sity (Recent Advances in Interactive Machine Translation With Large Language Mod els)

    84-84页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on ma chine translation. According to news originatingfrom Shenyang, People’s Republi c of China, by NewsRx editors, the research stated, “This paper exploresthe rol e of Large Language Models (LLMs) in revolutionizing interactive Machine Transla tion (MT),providing a comprehensive analysis across nine innovative research di rections.”

    Research from Suleyman Demirel University Provide New Insights into Artificial I ntelligence (Artificial Intelligence and Ethics in Healthcare: A Bibliometric An alysis)

    85-86页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New study results on artificial intell igence have been published. According to news reportingfrom Suleyman Demirel Un iversity by NewsRx journalists, research stated, “The rapid proliferationof art ificial intelligence (AI) in healthcare services has underscored the importance of ethical considerations.This development highlights the need to examine ethic al implications, debates, concerns, and thoughtsfrom diverse and broad perspect ives.”

    Research from Suleyman Demirel University Provide New Insights into Artificial I ntelligence (Artificial Intelligence and Ethics in Healthcare: A Bibliometric An alysis)

    85-86页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New study results on artificial intell igence have been published. According to news reportingfrom Suleyman Demirel Un iversity by NewsRx journalists, research stated, “The rapid proliferationof art ificial intelligence (AI) in healthcare services has underscored the importance of ethical considerations.This development highlights the need to examine ethic al implications, debates, concerns, and thoughtsfrom diverse and broad perspect ives.”

    New Findings on Machine Learning from Wuhan University Summarized (Prediction of Ultimate Bearing Capacity for Rubberized Concrete Filled Steel Tube Columns Bas ed On Tabular Variational Autoencoder Method and Stacking Ensemble Strategy)

    86-87页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Machine Learning is now available. According to news reportingout of Wuhan, People’s Republic of China , by NewsRx editors, research stated, “The application ofrubberized concrete fi lled steel tube (RuCFST) structures can facilitate the recycling of used tires, offeringa sustainable solution. In recent years, data-driven machine learning ( ML) algorithms have garneredsignificant attention from researchers in the engin eering field.”

    New Findings on Machine Learning from Wuhan University Summarized (Prediction of Ultimate Bearing Capacity for Rubberized Concrete Filled Steel Tube Columns Bas ed On Tabular Variational Autoencoder Method and Stacking Ensemble Strategy)

    86-87页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Machine Learning is now available. According to news reportingout of Wuhan, People’s Republic of China , by NewsRx editors, research stated, “The application ofrubberized concrete fi lled steel tube (RuCFST) structures can facilitate the recycling of used tires, offeringa sustainable solution. In recent years, data-driven machine learning ( ML) algorithms have garneredsignificant attention from researchers in the engin eering field.”

    University of Nottingham Researcher Details Research in Machine Learning (Integr ating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms E nhances the Prediction of Grapevine Yield and Berry Composition)

    87-88页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Data detailed on artificial intelligence have bee n presented. According to news reporting fromLoughborough, United Kingdom, by N ewsRx journalists, research stated, “Accurately predicting grapevineyield and q uality is critical for optimising vineyard management and ensuring economic viab ility. Numerousstudies have reported the complexity in modelling grapevine yiel d and quality due to variability in thecanopy structure, challenges in incorpor ating soil and microclimatic factors, and management practicesthroughout the gr owing season. The use of multimodal data and machine learning (ML) algorithms could overcome these challenges.”

    University of Nottingham Researcher Details Research in Machine Learning (Integr ating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms E nhances the Prediction of Grapevine Yield and Berry Composition)

    87-88页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Data detailed on artificial intelligence have bee n presented. According to news reporting fromLoughborough, United Kingdom, by N ewsRx journalists, research stated, “Accurately predicting grapevineyield and q uality is critical for optimising vineyard management and ensuring economic viab ility. Numerousstudies have reported the complexity in modelling grapevine yiel d and quality due to variability in thecanopy structure, challenges in incorpor ating soil and microclimatic factors, and management practicesthroughout the gr owing season. The use of multimodal data and machine learning (ML) algorithms could overcome these challenges.”

    Researcher from University of Shanghai for Science and Technology Publishes New Studies and Findings in the Area of Machine Learning (Comparative Study of Diffe rent Machine Learning Models for Heat Transfer Performance Prediction of Evapora tors ...)

    88-89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 originating from Shanghai, P eople’s Republic of China, by NewsRx editors, the research stated, “Thisstudy e xplores the potential of machine learning models to predict evaporator heat tran sfer performancein Modular Refrigerated Display Cases (MRDCs).”

    Researcher from University of Shanghai for Science and Technology Publishes New Studies and Findings in the Area of Machine Learning (Comparative Study of Diffe rent Machine Learning Models for Heat Transfer Performance Prediction of Evapora tors ...)

    88-89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 originating from Shanghai, P eople’s Republic of China, by NewsRx editors, the research stated, “Thisstudy e xplores the potential of machine learning models to predict evaporator heat tran sfer performancein Modular Refrigerated Display Cases (MRDCs).”