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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.”

    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.”

    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.”

    Reports from Chongqing University Provide New Insights into Robotics (Error Iden tification and Compensation of a Dual-robot Measuring and Machining System With an Integrated Visual Sensor)

    116-117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 reporting originating from Chongqing, People’s Republic of China, by NewsRx correspondents, research stated, “To address the gr owing demand for intelligent manufacturing in personalized, large-scale, and mul tivariety production, multirobot systems have demonstrated significant potential , as they can tackle complex tasks unattainable for a single robot. A critical c hallenge for enabling accurate cooperative operations is the precise calibration of relative poses and kinematic parameters of the robot system.”

    New Robotics Findings from Tennessee Technological University Discussed (Teleope ration-driven and Keyframe-based Generalizable Imitation Learning for Constructi on Robots)

    119-120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 Robotics. According to news reporting originating from Cookeville, Tennessee, by NewsRx correspondents, research stated, “The construction industry has long bee n plagued by low productivity and high injury and fatality rates. Robots have be en envisioned to automate the construction process, thereby substantially improv ing construction productivity and safety.” Funders for this research include National Science Foundation (NSF), National Sc ience Foundation (NSF), University of Tennessee, Knoxville.

    Study Results from Mendel University in Brno Broaden Understanding of Artificial Intelligence (Exploring the multifaceted impacts of artificial intelligence on public organizations, business, and society)

    120-121页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting out of Mendel University in B rno by NewsRx editors, research stated, “Along with the rapid development of inf ormation and communication technology (ICT), artificial intelligence (AI) has in creasingly become a core component of the daily activities of businesses and soc iety in general.”

    Findings from East China Jiao Tong University Yields New Data on Machine Learnin g (Multi-objective Optimization of Engineered Cementitious Composite Based On Ma chine Learning and Generative Adversarial Network)

    123-124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 originating in Nanchang, Peop le’s Republic of China, by NewsRx journalists, research stated, “This study aims to establish a novel framework for mixture design optimization of engineered ce mentitious composite (ECC) by first collecting two original datasets of ECC’s te nsile stress and strain from the extensive and credible literature. The datasets comprise a wide range of variables including cementitious ingredients, 9 types of fiber and characteristics, admixtures, and experimental conditions.”