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    General Hospital of Central Theater Command Reports Findings in Epilepsy (Joint use of population pharmacokinetics and machine learning for prediction of valpro ic acid plasma concentration in elderly epileptic patients)

    38-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Central Nervous System Diseases and Conditions - Epilepsy is thesubject of a report. According to new s reporting from Wuhan, People’s Republic of China, by NewsRxjournalists, resea rch stated, “Valproic acid (VPA) is a commonly used broad-spectrum antiepileptic drug.For elderly epileptic patients, VPA plasma concentrations have a consider able variation.”

    New Artificial Intelligence Data Have Been Reported by Researchers at University of Porto (Ai’s Effect On Innovation Capacity In the Context of Industry 5.0: a Scoping Review)

    39-40页
    查看更多>>摘要:– By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Artific ial Intelligence. According to news reportingfrom Porto, Portugal, by NewsRx jo urnalists, research stated, “The classic literature about innovationconveys inn ovation strategy the leading and starting role to generate business growth due t o technologydevelopment and more effective managerial practices. The advent of Artificial Intelligence (AI) howeverreverts this paradigm in the context of Ind ustry 5.0.”

    Second Affiliated Hospital of Nanchang University Reports Findingsin Hepatitis B Virus (Development of machine learning-based personalized predictive models fo r risk evaluation of hepatocellular carcinoma in hepatitis B virus-related cirrh osis …)

    40-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Liver Diseases and Con ditions - Hepatitis B Virus is the subject ofa report. According to news report ing out of Nanchang, People’s Republic of China, by NewsRx editors,research sta ted, “The increasing incidence of hepatocellular carcinoma (HCC) in China is an urgent issue,necessitating early diagnosis and treatment. This study aimed to d evelop personalized predictive modelsby combining machine learning (ML) technol ogy with a demographic, medical history, and noninvasivebiomarker data.”

    New Machine Learning Study Findings Reported from Harbin Institute of Technology (Machine Learning Based Framework for Rapid Forecasting of the Crack Propagation)

    41-42页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting from Harbin, People’s Republ ic of China, by NewsRx journalists, research stated, “Motivatedby avoiding the high computational cost of the phase field simulations, this paper proposes mach inelearningbased frameworks to implement the rapid forecasting of crack propag ations. Three specificframeworks, namely the framework with dimensionality redu ction and series forecasting (DS), the Autoencoderand LSTM based framework (AL ), and the U-net and LSTM based framework (UL), are proposedand examined.”

    Recent Findings from University of Southern Denmark Has Provided New Information about Artificial Intelligence (Reinforce, Readjust, Reclaim: How Artificial Int elligence Impacts Journalism’s Professional Claim)

    42-43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 from Odense, Denm ark, by NewsRx correspondents, research stated, “Major advances inartificial in telligence have fuelled a rapid increase in the automation and augmentation of j ournalisticwork, challenging the centrality of journalists in the news producti on process. This article theoreticallyexplores news automation by adopting a sy stem of professions framework from the sociology of professionsto provide a hol istic perspective on the impact of artificial intelligence on journalistic work. ”

    Researchers from Durham University Detail New Studies and Findings in the Area o f Robotics and Artificial Intelligence (Evolutionary optimization for risk-aware heterogeneous multi-agent path planning in uncertain environments)

    43-44页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on robotics and artificial intelligen ce is now available. According to news originatingfrom Durham, United Kingdom, by NewsRx editors, the research stated, “Cooperative multi-agent systemsmake it possible to employ miniature robots in order to perform different experiments f or data collectionin wide open areas to physical interactions with test subject s in confined environments such as a hive.”Financial supporters for this research include H2020 Future And Emerging Technol ogies.

    Researchers from University of Freiburg Detail New Studies and Findings in the A rea of Robotics and Automation (Autograph: Predicting Lane Graphs From Traffic O bservations)

    44-44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 Ro botics - Robotics and Automation. According tonews reporting from Freiburg, Ger many, by NewsRx journalists, research stated, “Lane graph estimationis a long-s tanding problem in the context of autonomous driving. Previous works aimed at so lving thisproblem by relying on large-scale, hand-annotated lane graphs, introd ucing a data bottleneck for trainingmodels to solve this task.”

    New Machine Learning Study Findings Have Been Reported from Peking University (C oreset Selection Can Accelerate Quantum Machine Learning Models With Provable Ge neralization)

    45-45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 in Beijin g, People’s Republic of China, by NewsRx journalists, research stated,“Quantum neural networks (QNNs) and quantum kernels stand as prominent figures in the rea lm ofquantum machine learning, poised to leverage the nascent capabilities of n ear-term quantum computersto surmount classical machine learning challenges. No netheless, the training-efficiency challenge poses alimitation on both QNNs and quantum kernels, curbing their efficacy when they are applied to extensivedata sets.”

    Findings on Machine Learning Discussed by Investigators at Universityof Science and Technology China (Temporal Decoupling-based Machine Learning Framework for Precise Efficiency Prediction In Perovskite Solar Cells)

    46-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting out of Hefei, People’s Repub lic of China, by NewsRx editors, research stated, “The rapid andaccurate identi fication of potential high-efficiency design strategies for perovskite solar cel ls (PSCs) is ofparamount importance in advancing their development and commerci alization. However, the applicationof machine learning (ML) algorithms in this field is hindered by unstable PSC data sets (e.g., time-relatednoise and data i mbalance).”

    Jinan University Reports Findings in Psoriasis (Key genes and immune infiltratio n patterns and the clinical implications in psoriasis patients)

    47-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Skin Diseases and Cond itions - Psoriasis is the subject of a report.According to news reporting origi nating in Guangdong, People’s Republic of China, by NewsRx journalists,research stated, “Psoriasis is an immune-mediated skin disease, closely related to immun e regulation. Theaim was to understand the pathogenesis of psoriasis further, r eveal potential therapeutic targets, andprovide new clues for its diagnosis, tr eatment, and prevention.”