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    New Machine Learning Research from University of Science and Technology Discusse d (Machine learning in additive manufacturing–NiTi alloy’s transformation behav ior)

    20-20页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsoriginating from Changchun, Peo ple’s Republic of China, by NewsRx correspondents, research stated,“The laser p owder bed fused NiTi alloys (LPBF-NiTi) demonstrate shape memory functionality a ndsuperelasticity as a result of their distinctive phase transition characteris tics.”

    Simon Fraser University Researchers Advance Knowledge in Artificial Intelligence (Ethics dumping in artificial intelligence)

    20-21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 reportingout of Burnaby, Canada, by Ne wsRx editors, research stated, “Artificial Intelligence (AI) systems encode not just statistical models and complex algorithms designed to process and analyze d ata, but also significantnormative baggage.”

    Reports Summarize Intelligent Systems Research from University of Shanghai for S cience and Technology (Multidimensional time series classification with multiple attention mechanism)

    21-22页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on intelligent systems is the subject of a new report. According tonews originating from the University of Shanghai for Science and Technology by NewsRx correspondents,research stated , “The classification of multidimensional time series holds significant importan ce acrossvarious domains, including action classification, medical diagnosis, a nd credit assessment.”

    University of Porto Researcher Publishes Findings in Support Vector Machines (Co mparative Study of Random Forest and SupportVector Machine for Land Cover Class ification and Post-Wildfire Change Detection)

    22-23页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in . According to news reporting out of Porto,Portugal, by NewsRx editors, researc h stated, “The land use land cover (LULC) map is extensivelyemployed for differ ent purposes.”

    Study Findings from Ho Chi Minh City University of Technology Broaden Understand ing of Robotics (Framework design using the robotic augmented reality for the cy berphysical system)

    23-24页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on robotics have bee n published. According to news reporting fromHo Chi Minh City, Vietnam, by News Rx journalists, research stated, “In the context of Industry 4.0, manyadvanced technologies have been investigated to enhance the high performance for the pres ently roboticsystem.”

    Research Findings from Northwest University Update Understanding of Machine Lear ning (Quantifying the Geomorphological Susceptibility of the Piping Erosion in L oess Using LiDAR-Derived DEM and Machine Learning Methods)

    24-25页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting out of Northwest Univers ity by NewsRx editors, research stated, “Soil piping erosion is anunderground s oil erosion process that is significantly underestimated or overlooked.”

    Findings from Shanghai University Provide New Insights into Machine Learning (On -the-fly Machine Learning Force Field Study of Liquid-al/a-al2o3 Interface)

    25-25页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating in Shanghai, People’s R epublic of China, by NewsRx journalists, research stated, “The atomicstructure of the liquid Al/& alpha;-Al2O3 interface was investigated using o n-the-fly machine learningforce field based on first-principles calculations. W e found that three different terminal surfaces of theliquid Al/ & alpha;-Al2O3{0 0 0 1} systems exhibited the same interfacial char acteristics.”

    New Findings from Georgia Institute of Technology in Robotics Provides New Insig hts (Legibility Diffuser: Offline Imitation for Intent Expressive Motion)

    26-27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. According to news reporting originating from Atlanta, Georgia, by NewsRx correspondents, research stated, “In human-robot collaboration, legiblemotion that conveys a robot’s intentions and goals is known to improve safety, task eff iciency, and userexperience. Legible robot motion is typically generated using hand-designed cost functions and classicalmotion planners.”

    New Artificial Intelligence Study Results from Chungbuk National University Desc ribed (Reinforcement Learning-Based Delay Line Design for Crosstalk Minimization )

    26-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news originatingfrom Chungbuk, South Kore a, by NewsRx editors, the research stated, “Reinforcement learning (RL) isone o f the artificial intelligence techniques that build an artificial neural network to achieve the mostoptimum decision.”

    University of Luxembourg Researchers Update Current Data on Robotics (DFL-TORO: A One-Shot Demonstration Framework for Learning Time-Optimal Robotic Manufacturi ng Tasks)

    27-28页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on robotics is now availab le. According to news reporting from theUniversity of Luxembourg by NewsRx jour nalists, research stated, “This paper presents DFL-TORO,a novel Demonstration F ramework for Learning Time-Optimal Robotic tasks via One-shot kinestheticdemons tration.”