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    Harbin University of Science and Technology Reports Findings in Robotics (Optimi zation of grinding parameters in robotic-assisted preparation of cracked teeth b ased on fracture mechanics: FEA and experiment)

    11-12页
    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 subjec t of a report. According to news reportingoriginating from Heilongjiang, People ’s Republic of China, by NewsRx correspondents, research stated, “Ifleft untrea ted, cracked teeth can lead to tooth loss, of which the incidence is 70% . Dental preparation isan effective treatment, but it is difficult to meet the clinical requirements when traditionally prepared bydentists.”

    Findings from Louisiana State University Broaden Understanding of Robotics (User -agnostic Adaptation of Human Locomotion Intent: Leveraging Teacher-student-lear ning and Ensemble Modeling)

    12-13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 BatonRouge, Louisiana, by NewsRx journalis ts, research stated, “Wearable robot control in complicated contextsrequires an understanding of human locomotion intent and behaviors. However, signals from h uman-robotinterfaces are typically reliant on the user, leading to poor perform ance of the model trained on traininguser when applied to new end-point users.”

    Recent Findings in Machine Learning Described by Researchers from University of Stuttgart (Origin of the Yield Stress Anomaly In L12 2 Intermetallics Unveiled W ith Physically Informed Machine-learning Potentials)

    13-14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 Stuttgart, Germany, b y NewsRx editors, research stated, “The yield stress anomaly of L122 intermetal lics such as Ni3Al, 3 Al, Ni3Ga, 3 Ga, Co3(Al,W) 3 (Al,W) is controlled by the s o-called Kear-Wilsdorf lock (KWL), of which the formation and unlocking are gove rned by dislocation cross-slip. Despitethe importance of this anomalous behavio r in L12 2-strengthened alloys, microscopic understanding of theKWL is limited. ”

    East China Normal University Reports Findings in Machine Learning (Machine Learn ing-Guided Prediction of Hydroformylation)

    14-14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 th e subject of a report. According to newsreporting originating in Shanghai, Peop le’s Republic of China, by NewsRx journalists, research stated,“A holistic mode l for predicting yield and linear selectivity for the hydroformylation of 1-octe ne wasdeveloped by machine learning using the experimental data collected from literatures. Physical organicchemistry (POC) parameter-based descriptors were a dopted to represent pre-catalyst molecular features.”

    New Findings in Machine Learning Described from Chongqing University (Unraveling Nonlinear and Spatial Non-stationary Effects of Urban Form On Surface Urban Hea t Islands Using Explainable Spatial Machine Learning)

    15-15页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting out of Chongqing, People’s Republic of China, by NewsRx editors, research stated, “Under globalwarming, su rface urban heat islands (SUHI) threaten human health and urban ecosystems. Howe ver,scant research focused on exploring the complex associations between urban form factors and SUHI at thecounty scale, compared with rich studies at the cit y scale.”

    Study Results from Bureau of Meteorology Broaden Understanding of Machine Learni ng (RainForests: A Machine Learning Approach to Calibrating NWP Precipitation Fo recasts)

    16-16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 Victoria, Australia, by NewsRx correspondents, research stated, “Probabilistic forecasts derivedfro m ensemble prediction systems (EPSs) have become the standard basis for many pro ducts and servicesproduced by modern operational forecasting centers. However, statistical postprocessing is generallyrequired to ensure forecasts have the de sired properties expected for probability-based outputs.”

    New Findings from Nanjing Tech University Describe Advances in Machine Learning (A Novel Machine Learning Framework for Impact Force Prediction of Foam-filled M ulti-layer Lattice Composite Structures)

    17-17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 Nanjin g, People’s Republic of China, by NewsRx journalists, research stated,“Numerica l simulations can provide valuable insights for the optimization of design and o perational management;however, they are often impractical and computationally i ntensive. Machine learning methodsare appealing to these problems due to their sufficient efficiency and accuracy.”

    Study Findings from Massachusetts General Hospital Broaden Understanding of Arti ficial Intelligence (The Next Revolution In Computational Simulations: Harnessin g Ai and Quantum Computing In Molecular Dynamics)

    18-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Artificial Intelligence is now ava ilable. According to news reporting out ofBoston, Massachusetts, by NewsRx edit ors, the research stated, “The integration of artificial intelligence,machine l earning and quantum computing into molecular dynamics simulations is catalyzing a revolutionin computational biology, improving the accuracy and efficiency of simulations. This review describesthe advancements and applications of these te chnologies to process vast molecular dynamics simulationdatasets, adapt paramet ers of simulations and gain insight into complex biological processes.”

    Findings on Support Vector Machines Reported by Investigators at Shandong Techno logy & Business University (Support Vector Machine In Big Data: Sm oothing Strategy and Adaptive Distributed Inference)

    19-19页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Support Vecto r Machines have been published. Accordingto news reporting from Yantai, People’ s Republic of China, by NewsRx journalists, research stated,“Support vector mac hine (SVM) is a powerful binary classification tool, but the growing size of modern data is bringing challenges to it. First, the non-smoothness of hinge loss p oses difficulties in largescalecomputation.”

    Researchers from Baze University Detail New Studies and Findings in the Area of Artificial Intelligence (A Novel Approach for Precipitation Modeling Using Artif icial Intelligence-based Ensemble Models)

    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 tonews reporting out of Abuja, Nigeria , by NewsRx editors, research stated, “Precipitation is the primarycomponent of the hydrologic water cycle and its accurate prediction plays a significant role for the planning,management and design of hydraulic structures. The objective of the study intended to explore a newapproach to increase prediction efficienc y of precipitation in the arid, semiarid and humid zones.”