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    Data on Artificial Intelligence Detailed by Researchers at RUDN University (Tech nological discourse in the Russian media: Main strategies for representing artif icial intelligence)

    106-106页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news reporting from RUDN University by NewsRx jo urnalists, research stated, “Public perception of artificial intelligence may no t coincide with its actual capabilities, but it plays the key role in how algori thms are developed, implemented, used and regulated.”

    Study Data from Zhejiang Academy of Agricultural Sciences Provide New Insights i nto Machine Learning (Citrus Yield Estimation for Individual Trees Integrating P runing Intensity and Image Views)

    107-107页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting out of Zhejiang, People’s Republic of China, by NewsRx editors, research stated, “Accurately estimating the yield of citrus fruit on individual trees is essential for precise orchard management and the income of producers. However, estimating the yield of citrus fruit from images of trees remains challenging among different processes of tree pruning an d image acquisition.”

    Investigators from Geneva University Hospitals Report New Data on Machine Learni ng (Single Annotator Versus Multi-annotator: Challenge of Segmenting Two Neighbo ring Hippocampus Head and Body With High Precision)

    108-108页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting originating from Geneva, Switzerla nd, by NewsRx correspondents, research stated, “This work investigates multi-ann otator segmentation framework for semantic image segmentation using deep learnin g approaches. The framework consists of various deep learning models which perfo rm independently, and then their decisions are fused by a combiner network.”

    Reports from Federal Institute of Education Science and Technology Provide New I nsights into Machine Learning (Estimating Energy Efficiency of the Aeration Proc ess of Stored Grains Through Machine Learning)

    109-109页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting originating in Rio Verde, Brazil, by NewsRx journalists, research stated, “Aeration is carried out by blowing exte rnal air into the silo, with the aim to keep the temperature in the mass of stor ed grains at safe levels. In the present study, the energy efficiency of aeratio n of stored sunflower grains was estimated, and a model was proposed and tested to estimate the energy efficiency of aeration, using different algorithms in sup ervised and unsupervised machine learning.”

    Findings from Lawrence Livermore National Laboratory Provide New Insights into M achine Learning (Machine-learning-assisted Deciphering of Microstructural Effect s On Ionic Transport In Composite Materials: a Case Study of ...)

    110-111页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Livermore, California, b y NewsRx journalists, research stated, “The effective diffusivity of ionic speci es in multiphase materials is critical for the design and function of composite materials for electrochemical energy storage. In practice, effective diffusivity depends sensitively not only on the intrinsic diffusivities of constituting mat erials but also on their topological arrangement; nevertheless, these coupled co ntributions are oversimplified in most analytical models.”

    Study Findings on Robotics Described by a Researcher at Samara National Research University (Methodological approaches to the creation and functioning of serial robotic production of small satellites)

    110-110页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in robotic s. According to news originating from Samara National Research University by New sRx correspondents, research stated, “The article considers a system approach to the creation of robotic production of small nano satellites to ensure their ser ial production.” Our news editors obtained a quote from the research from Samara National Researc h University: “The analysis of key trends in the creation and development of mod ern satellite production was carried out; the factors characterizing serial robo tic production are identified and systematized. An intelligent production cell i s described as the main element of serial robotic matrix-type production. The ma in types of design solutions aimed at adapting the design of a small satellite f or robotic assembly are presented.”

    Studies from Guangdong University of Technology Update Current Data on Artificia l Intelligence [Semantic Communications for Artificial Intell igence Generated Content (Aigc) Toward Effective Content Creation]

    111-112页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Artificial In telligence have been published. According to news reporting originating from Gua ngzhou, People’s Republic of China, by NewsRx correspondents, research stated, “ Artificial Intelligence Generated Content (AIGC) Services have significant poten tial in digital content creation. The distinctive abilities of AIGC, such as con tent generation based on minimal input, hold huge potential, especially when int egrating with semantic communication (SemCom).”

    Masaryk University Reports Findings in Robotics (Evolution and Adaptations of Ro botic DIEP Flap Surgery: A Systematic Review)

    112-113页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news originating from Brno, Czech Republic, by NewsR x correspondents, research stated, “The integration of robotic technology into s urgical procedures has gained considerable attention for its promise to enhance a variety of clinical outcomes. Robotic deep inferior epigastric perforator (DIE P) flap harvest has emerged as a novel approach for autologous breast reconstruc tion.”

    New Robotics Study Findings Have Been Reported by Investigators at Beihang Unive rsity (Robotic Compliant Assembly for Complexshaped Composite Aircraft Frame Ba sed On Gaussian Process Considering Uncertainties)

    114-115页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “Robots are finding increas ing application in aircraft composite structure assembly due to their flexibilit y and the growing demand of aircraft manufacturers for high production rates. Th e contact force of the composite frame in a robotic assembly of the aircraft com posite fuselage panel can hardly be controlled due to the multi-surface variable contact stiffness caused by compliance and complex shape with multiple mating s urfaces.”

    Studies from University of Johannesburg in the Area of Artificial Intelligence P ublished (A survey of explainable artificial intelligence in healthcare: Concept s, applications, and challenges)

    114-114页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news originating from Johannesburg, South Africa, by NewsRx correspondents, research stated, “Explainable AI (XAI) has the potent ial to transform healthcare by making AI-driven medical decisions more transpare nt, reliable, and ethically compliant.”