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    Research on Artificial Intelligence Detailed by Researchers at State University of Management (Russian industry intellectualization development: Strategic approach)

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    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 artificial intelligence. According to news reportingoriginating from State University of Management by NewsRx correspondents, research stated, “The currentstage of industrial production digital transformation consists in developing and integrating artificialintelligence technologies.”The news correspondents obtained a quote from the research from State University of Management:“Strategic importance of Russian industry intellectualization requires synchronous involvement of all industriesin this process in order to ensure effective and proportional development of the country’s economy. Inthis regard, the purpose of the study is to develop proposals for coordinated and balanced strategizing inthe field of intellectual development of the country’s industry. The subject of the study is the relationshipof digitalization processes and the use of intelligent technologies with strategies implementation for developingall industries and the Digital Economy National Program. The hypothesis of the study is based onthe problem of low efficiency of implementing existing strategies of sectoral development and productiondigitalization processes, the causal result of which is inconsistency and imbalance of their development intime due to the lack of common views, common standards, and common space of information and communicationinteraction. Research objectives are to study statistical materials and practical developmentsin the field of industry digitalization; to analyze the current strategies for developing industrial sectorsup to 2035; to analyze the processes of industry digitalization on the basis of reports on implementingthe Industry 4.0 concept, various digital platforms for production dispatching, predictive analytics, etc.; todevelop the concept of intelligent industrial development and the mechanism of integrating all participantsin the processes of digital transformation, including the state.”

    Reports from Guangdong University of Technology Describe Recent Advances in Support Vector Machines (A New Multi-view Multilabel Model With Privileged Information Learning)

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    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 Machine Learning - Support Vector Machines.According to news reporting originating from Guangzhou, People’s Republic of China, by NewsRx correspondents,research stated, “In multi-view multi-label learning (MVML), the data is described by multiplefeature views and annotated by a number of categorical labels. At present, most of the existing MVMLmethods are proposed based on subspace learning, neural networks and so on.”Funders for this research include National Natural Science Foundation of China (NSFC), NationalNatural Science Foundation of Guangdong Province.

    Chinese Academy of Sciences Reports Findings in Microcystis (Changes in CO2 concentration drive a succession of toxic and nontoxic strains of Microcystis blooms)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Gram-Negative Bacteria - Microcystis is the subject of a report.According to news reporting originating in Wuhan, People’s Republic of China, by NewsRx journalists,research stated, “The dynamic changes between toxic and non-toxic strains of Microcystis blooms havealways been a hot topic. Previous studies have found that low CO favors toxic strains, but how changingdissolved CO (CO [aq]) in water body influences the succession of toxic and non-toxic strains in Microcystisblooms remains uncertain.”

    Royal Orthopedic Hospital Reports Findings in Arthroplasty (An evaluation of factors influencing the adoption and usage of robotic surgery in lower limb arthroplasty amongst orthopaedic trainees: a clinical survey)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Surgery - Arthroplasty is the subject of a report. According tonews reporting from Birmingham, United Kingdom, by NewsRx journalists, research stated, “The rise ofrobotics in orthopaedic training, driven by the demand for better training outcomes and patient care,presents specific challenges for junior trainees due to its novelty and steep learning curve. This paperexplores how orthopaedic trainees perceive and adopt robotic-assisted lower limb arthroplasty.”

    University of Sarajevo Clinical Center Reports Findings in Robotics (RoboticScope-Assisted Microanastomosis in a Chicken Leg Model)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subject of a report. According to news reportingoriginating in Sarajevo, Bosnia and Herzegovina, by NewsRx journalists, research stated, “ Many recentstudies show that exoscopes are safe and effective alternatives to operating microscopes (OM). Developmentsof robotics and automation are present in neurosurgery with the appearance of a newer device suchas RoboticScope (RS) exoscope with a digital three-dimensional (3D) image and a head-mounted display.”

    New Findings Reported from Huazhong University of Science and Technology Describe Advances in Machine Learning (Computational Screening of 2d Anode Materials With Robust Thermal and Electrical Properties for Lithium-ion Batteries)

    6-6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 presented in a new report. According to newsoriginating from Hubei, People’s Republic of China, by NewsRx correspondents, research stated, “Twodimensionalmaterials AB2-type and AB-type materials not only have robust electrical properties, but alsohave robust thermal stability, which can reduce the risk of thermal runaway of the battery. While experimentaland theoretical calculations to explore the entire phase space are both very time-consuming, usingmachine learning combining with first principle calculations, a new material TiF that has high electronicconductivity (bandgap = 0 eV), low energy barrier (0.28 eV), high capacity (400.82 mA h/g), high thermalstability and moderate open circuit voltage (2.21 V) is screened out from 1913 materials.”

    Reports Outline Machine Learning Research from Complutense University of Madrid (Overview and Perspectives of Chaos Theory and Its Applications in Economics)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligence have been presented. According to news reportingoriginating from Madrid, Spain, by NewsRx correspondents, research stated, “Starting from the contributionof such thinkers as the famous Giordano Bruno (1583) and the great mathematician and physicist HenriPoincare (1889) and the surprising discovery of the meteorologist Edward Lorenz (1963), we consider theexpansion of the mathematics of chaos in this article, paying attention to topology, qualitative geometry,and Catastrophe Theory, on the one hand, and addressing the possibilities derived from the new ComputerScience as Quantum Algorithms and the advances in Artificial Intelligence, on the other.”

    Data on Endometrial Cancer Reported by Banghong Chen and Colleagues (The value of machine learning in preoperative identification of lymph node metastasis status in endometrial cancer: a systematic review and meta-analysis)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Endometrial Cancer is the subject of a report. Accordingto news originating from Chengdu, People’s Republic of China, by NewsRx correspondents, research stated,“The early identification of lymph node metastasis status in endometrial cancer (EC) is a serious challengein clinical practice. Some investigators have introduced machine learning into the early identification oflymph node metastasis in EC patients.”

    University of Pretoria Reports Findings in Machine Learning (Discernment of transformer oil stray gassing anomalies using machine learning classification techniques)

    9-10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 the subject of a report. According to newsreporting originating in Pretoria, South Africa, by NewsRx journalists, research stated, “This work examinesthe application of machine learning (ML) algorithms to evaluate dissolved gas analysis (DGA) data toquickly identify incipient faults in oil-immersed transformers (OITs). Transformers are pivotal equipmentin the transmission and distribution of electrical power.”

    Zhejiang Normal University Reports Findings in Machine Learning (Universal machine learning aided synthesis approach of twodimensional perovskites in a typical laboratory)

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    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 the subject of a report. According to newsreporting originating in Jinhua, People’s Republic of China, by NewsRx journalists, research stated, “Thepast decade has witnessed the significant efforts in novel material discovery in the use of data-driventechniques, in particular, machine learning (ML). However, since it needs to consider the precursors,experimental conditions, and availability of reactants, material synthesis is generally much more complexthan property and structure prediction, and very few computational predictions are experimentally realized.”