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    Data on Machine Learning Discussed by Researchers at South China University of T echnology (Prediction and Explanation of Properties In Multicomponent Polyuretha ne Elastomers: Integrating Molecular Dynamics and Machine Learning)

    35-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning have be en published. According to news reporting originatingin Guangdong, People’s Rep ublic of China, by NewsRx journalists, research stated, “Establishingquantitati ve connections among the chemical composition, molecular structure, and macrosco pic propertiesof multicomponent polyurethane elastomers remains a challenging t ask. Molecular dynamics (MD)has been extensively utilized in the study of vario us materials and serves as a crucial tool for exploring therelationship between structure and properties.”

    Data on Machine Learning Discussed by Researchers at South China University of T echnology (Prediction and Explanation of Properties In Multicomponent Polyuretha ne Elastomers: Integrating Molecular Dynamics and Machine Learning)

    35-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning have be en published. According to news reporting originatingin Guangdong, People’s Rep ublic of China, by NewsRx journalists, research stated, “Establishingquantitati ve connections among the chemical composition, molecular structure, and macrosco pic propertiesof multicomponent polyurethane elastomers remains a challenging t ask. Molecular dynamics (MD)has been extensively utilized in the study of vario us materials and serves as a crucial tool for exploring therelationship between structure and properties.”

    New Findings in Artificial Intelligence Described from Tsinghua University (GPT understands, too)

    36-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to newsoriginating from Tsinghua University b y NewsRx editors, the research stated, “Prompting a pretrainedlanguage model wi th natural language patterns has been proved effective for natural language understanding (NLU).”

    Central South University Reports Findings in Cancer (Data - Knowledge driven mac hine learning model for cancer pain medication decisions)

    36-37页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Cancer is the subject of a report. According to news reportingoriginating from Changsha, People’s Rep ublic of China, by NewsRx correspondents, research stated,“Cancer pain is one o f the most common symptoms in cancer patients, and drug decision-making incance r pain management remains challenges. This study aims to develop machine learnin g models usingreal-world clinical data and prior knowledge to support drug deci sion-making in cancer pain management.”

    New Findings in Artificial Intelligence Described from Tsinghua University (GPT understands, too)

    36-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to newsoriginating from Tsinghua University b y NewsRx editors, the research stated, “Prompting a pretrainedlanguage model wi th natural language patterns has been proved effective for natural language understanding (NLU).”

    Central South University Reports Findings in Cancer (Data - Knowledge driven mac hine learning model for cancer pain medication decisions)

    36-37页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Cancer is the subject of a report. According to news reportingoriginating from Changsha, People’s Rep ublic of China, by NewsRx correspondents, research stated,“Cancer pain is one o f the most common symptoms in cancer patients, and drug decision-making incance r pain management remains challenges. This study aims to develop machine learnin g models usingreal-world clinical data and prior knowledge to support drug deci sion-making in cancer pain management.”

    University of Lorraine Reports Findings in Heart Failure (Machine learning appro ach to identify phenotypes in patients with ischaemic heart failure with reduced ejection fraction)

    37-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Heart Disorders and Di seases - Heart Failure is the subject of areport. According to news reporting o riginating in Nancy, France, by NewsRx journalists, research stated,“Patients e xperiencing ischaemic heart failure with reduced ejection fraction (HFrEF) repre sent a diversegroup. We hypothesize that machine learning clustering can help s eparate distinctive patient phenotypes,paving the way for personalized manageme nt.”

    University of Lorraine Reports Findings in Heart Failure (Machine learning appro ach to identify phenotypes in patients with ischaemic heart failure with reduced ejection fraction)

    37-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Heart Disorders and Di seases - Heart Failure is the subject of areport. According to news reporting o riginating in Nancy, France, by NewsRx journalists, research stated,“Patients e xperiencing ischaemic heart failure with reduced ejection fraction (HFrEF) repre sent a diversegroup. We hypothesize that machine learning clustering can help s eparate distinctive patient phenotypes,paving the way for personalized manageme nt.”

    Researcher at Complutense University of Madrid Publishes Research in Artificial Intelligence (Artificial Intelligence in Slow Journalism: Journalists’ Uses, Per ceptions, and Attitudes)

    38-39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 reportingfrom Madrid, Spain, by NewsRx journalists, research stated, “Through long-form, creative, high-qualitystorie s, slow journalism seeks to counteract the effects of speed and immediacy in new s production andconsumption primarily driven by technological advancements.”

    Researcher at Complutense University of Madrid Publishes Research in Artificial Intelligence (Artificial Intelligence in Slow Journalism: Journalists’ Uses, Per ceptions, and Attitudes)

    38-39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 reportingfrom Madrid, Spain, by NewsRx journalists, research stated, “Through long-form, creative, high-qualitystorie s, slow journalism seeks to counteract the effects of speed and immediacy in new s production andconsumption primarily driven by technological advancements.”