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    Researchers at George Mason University Release New Data on Artificial Intelligen ce (Exploring the Concept of Valence and the Nature of Science Via Generative Ar tificial Intelligence and General Chemistry Textbooks)

    20-21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 Ar tificial Intelligence. According to news reportingoriginating in Fairfax, Virgi nia, by NewsRx journalists, research stated, “Like science itself, our understanding of chemical concepts and the way we teach them change over time. This paper explores historical andmodern perspectives of the concept of valence in the co ntext of collegiate general chemistry and drawscomparisons to responses from ge nerative artificial intelligence (genAI) tools such as ChatGPT.”

    New Machine Learning Study Results from Jamia Millia Islamia Described (Riverban k Erosion Induced Vulnerability In India: a Review for Future Research Framework )

    21-21页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating from New Delhi, India, by NewsRx correspondents, research stated, “Riverbankerosion is a significant risk that results in damages and economic losses. India is severely vulnerable toriverbank erosion due to its demographic profile, socio-economic conditions, and physiographic setting.”

    Studies from Faculty of Engineering Provide New Data on Machine Learning (Unsupe rvised machine learning for identifying key risk factors contributing to constru ction delays)

    22-22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 ar tificial intelligence. According to news reportingout of Mafraq, Jordan, by New sRx editors, research stated, “The present study uses unsupervised machinelearn ing capabilities with an emphasis on K-means clustering for addressing the probl em of constructiondelays. The primary objective is to investigate the critical risk factors that contribute to such delays,thereby enabling more efficient ris k-management strategies.”

    Data on Machine Learning Reported by Zhubo Jiang and Colleagues (An Automated Ma chine Learning-Based Quantitative Multiparametric Approach for Mitral Regurgitat ion Severity Grading)

    23-23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 news reportingfrom Singapore, Singapore, by NewsRx journalists, research stated, “Considering the high prevalence ofmitral regurgitation (MR) and the highly subjective, variable MR severity reporting, a n automated tool thatcould screen patients for clinically significant MR ( mode rate) would streamline the diagnostic/therapeuticpathways and ultimately improv e patient outcomes. The authors aimed to develop and validate a fullyautomated machine learning (ML)-based echocardiography workflow for grading MR severity.”

    Study Findings from Nanjing University of Information Science and Technology (NU IST) Broaden Understanding of Machine Learning (Exploring Impacts of Aerosol On Convective Clouds Using Satellite Remote Sensing and Machine Learning)

    24-24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 Learning. According to news reportingoriginating in Nanjing, People’s Rep ublic of China, by NewsRx journalists, research stated, “Aerosolcloud-precipita tion interaction is currently a research hotspot that is challenging but also on e of the mostprominent sources of uncertainty affecting climate change. We have identified 1082 mesoscale convectivesystems (MCSs) over eastern China from Apr il to September in 2016 and 2017.”

    Data on Robotics Reported by Researchers at Beijing Institute of Technology (Des ign and Simulation of Bionic Quadruped Obstacleovercoming Robot)

    25-25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 Robotics is now availab le. According to news reporting from Beijing,People’s Republic of China, by New sRx journalists, research stated, “Advances in bionic technology haveenabled qu adruped robots to be more flexible. Numerous quadruped robots in various forms s pecializein walking and trotting, whereas very few robots achieve high-performa nce obstacle-overcoming.”

    Affiliated Hospital of Nanjing University Medical School Reports Findings in Lun g Cancer (Machine learning-based integration of CD8 T cell-related gene signatur es for comprehensive prognostic assessment in lung adenocarcinoma)

    26-27页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Lung Cancer is the subject of a report. Accordingto news reporting from Yancheng, People’s Republic of China, by NewsRx journalists, research stated,“Lung adenocarcinoma (LUAD) stands as the most prevalent histological subtype of lung cancer, exhibiting heterogeneity in outcomes and diverse responses to therapy. CD8 T cells are consistently presentthroughout all stages of tumor development and play a pivo tal role within the tumor microenvironment(TME).”

    Researcher at Nanjing Normal University Discusses Research in Robotics (Efficien t Path Planning Algorithm Based on Laser SLAM and an Optimized Visibility Graph for Robots)

    27-28页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on robotics have been publi shed. According to news reporting originating fromNanjing, People’s Republic of China, by NewsRx correspondents, research stated, “Mobile robots’ efficientpat h planning has long been a challenging task due to the complexity and dynamism o f environments.”Funders for this research include National Natural Science Foundation of China; Scientific And TechnologicalAchievements Program of Jiangsu Province; State Key Laboratory of Mechanics And ControlFor Aerospace Structures, Nanjing Universit y of Aeronautics And Astronautics; State Key Laboratory ofHelicopter Dynamics.

    Research on Machine Learning Discussed by Researchers at Central-South Architect ural Design Institute Co. Ltd. (Novel UnsupervisedMachine Learning Method for I dentifying Falling from Height Hazards in Building Information Models through Pa th …)

    28-28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 Central-South Architectural Design Institute Co. Ltd. by NewsRx correspondents,research stated, “Falling from height (FFH) is a significant safety concern in t he constructionindustry.”

    University of Toronto Reports Findings in Artificial Intelligence (Interpretatio n of Clinical Retinal Images Using an Artificial Intelligence Chatbot)

    29-30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 report. According to newsreporting out of Toronto, Canada , by NewsRx editors, research stated, “To assess the performance of Chat Generat ive Pre-Trained Transformer-4 in providing accurate diagnoses to retina teaching cases fromOCTCases. Cross-sectional study. Retina teaching cases from OCTCases .”