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    Data on Dental Implants Reported by Weiwei Teng and Colleagues (Accuracy of dent al implant surgery with freehand, static computeraided, dynamic computer-aided, and robotic computer-aided implant systems: An in vitro study)

    99-100页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Dentistry - Dental Imp lants is the subject of a report. Accordingto news reporting out of Jiamusi, Pe ople’s Republic of China, by NewsRx editors, research stated, “Thestatic comput er-aided implant system (S-CAIS), dynamic computer-aided implant system (D-CAIS) , androbotic computer-aided implant system (R-CAIS) have been used to improve t he accuracy of implantplacement. However, the accuracy of freehand (FH),S-CAIS, D-CAIS, and R-CAIS implant placement hasnot been compared and verified under i dentical conditions.”

    Findings from Heinrich-Heine-University Dusseldorf Yields New Data on Robotics ( Robots and the Rise of European Superstar Firms)

    100-101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 Robotics have been published. According to news reportingoriginating from Dusseldorf, German y, by NewsRx correspondents, research stated, “We study how a recentdigital aut omation technology-industrial robots-is associated with the distribution of sale s, productivity,markups, and profits within industries. Our empirical analysis combines data on the industry-level stock ofindustrial robots with firms’ balan ce sheet data for six European countries from 2004 to 2013.”

    Recent Studies from Shanghai Jiao Tong University Add New Data to Robotics (Anal ysis of Gradient Features and Strengthening Mechanisms of the Inconel 718 Surfac e Layer Under Robot Belt Constant-force Grinding)

    101-101页
    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 Robotic s. According to news reporting out of Shanghai,People’s Republic of China, by N ewsRx editors, research stated, “Robot belt constant-force grinding isan effici ent way to precisely machine Inconel 718. After grinding, a strengthened layer i s formed on theworkpiece surface, affecting the service performance of the work piece.”

    Findings from Chongqing University Update Knowledge of Machine Learning (Predict ing the Grain Boundary Segregation Energy of Solute Atoms In Aluminum By First-p rinciples Calculation and Machine Learning)

    102-102页
    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 Machine Learning. According to news reporting originatingfrom Chongqing, People’s Repu blic of China, by NewsRx correspondents, research stated, “Grainboundary (GB) s egregation energy is an important factor affecting the segregation behavior of s oluteatoms and the mechanical properties of alloys. In this study, first-princi ples calculation combined withmachine learning (ML) algorithms were used to cal culate and predict the GB segregation energies of soluteatoms in Al alloys.”

    New Artificial Intelligence Study Findings Have Been Reported by Investigators a t Technical University Munich (TU Munich) (How Future Work Self Salience Shapes the Effects of Interacting With Artificial Intelligence)

    103-103页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According tonews reporting originating in Munich, Germany, by NewsRx journalists, research stated, “The rapid rise ofartificial intelligence (AI) is transforming the world of work, leaving individuals wonderi ng what AI meansfor the future of their career. The current research investigat es the moderating role of future work selfsalience (FWSS) on the effect of inte racting with AI on perceived control over one’s future work self andproactive c areer behavior.”

    University of Bern Reports Findings in Machine Learning (Panning for gold: Compa rative analysis of cross-platform approaches for automated detection of politica l content in textual data)

    104-104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 out of Bern, Switzerland, by NewsRx editors, research stated, “To understand and measurepolitical informatio n consumption in the high-choice media environment, we need new methods to traceindividual interactions with online content and novel techniques to analyse and detect politics-relatedinformation. In this paper, we report the results of a comparative analysis of the performance of automatedcontent analysis techniques for detecting political content in the German language across different platforms.”

    Researchers from Swiss Federal Institute of Technology Lausanne Describe Finding s in Robotics (Robust Quadruped Jumping Via Deep Reinforcement Learning)

    105-105页
    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 Robotic s. According to news reporting from Lausanne,Switzerland, by NewsRx journalists , research stated, “In this paper, we consider a general task of jumpingvarying distances and heights for a quadrupedal robot in noisy environments, such as of f of uneventerrain and with variable robot dynamics parameters. To accurately j ump in such conditions, we propose aframework using deep reinforcement learning that leverages and augments the complex solution of nonlineartrajectory optimi zation for quadrupedal jumping.”

    New Intelligent Systems Study Findings Have Been Reported from Shandong Universi ty of Science and Technology (Towards accurate anomaly detection for cloud syste m via graph-enhanced contrastive learning)

    106-106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 intelligent s ystems have been published. According to newsreporting originating from Shandon g University of Science and Technology by NewsRx correspondents,research stated , “As a critical technology, anomaly detection ensures the smooth operation of c loudsystems while maintaining the market competitiveness of cloud service provi ders. However, the resourcedata in real-world cloud systems is predominantly un annotated, leading to insufficient supervised signalsfor anomaly detection.”

    Xihua University Researchers Highlight Research in Intelligent Systems (Unveilin g user identity across social media: a novel unsupervised gradient semantic mode l for accurate and efficient user alignment)

    107-107页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on intelligent syste ms are discussed in a new report. According tonews reporting out of Xihua Unive rsity by NewsRx editors, research stated, “The field of social networkanalysis has identified User Alignment (UA) as a crucial area of investigation. The objec tive of UA isto identify and connect user accounts across diverse social networ ks, even when there are no explicitinterconnections.”

    Reports on Support Vector Machines Findings from Universidad Autonoma del Estado de Mexico Provide New Insights (Emotion recognition in the eye region using tex tural features,IBP and HOG)

    108-108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 support vector machines is now available. According to news reportingout of the Universidad Autonoma d el Estado de Mexico by NewsRx editors, research stated, “Our objectiveis to dev elop a robust emotion recognition system based on facial expressions, with a par ticularemphasison two key regions: the eyes and the mouth. This paper presents a comprehensive analysis of emotionrecognitionachieved through the examination of various facial regions.”