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    Data from University of Shanghai for Science and Technology Provide New Insights into Robotics (Patient acceptance of medical service robots in the medical inte lligence era: an empirical study based on an extended AI device use acceptance m odel)

    65-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on robotics are disc ussed in a new report. According to newsreporting out of the University of Shan ghai for Science and Technology by NewsRx editors, researchstated, “In the era of medical intelligence, there are still few studies focusing on medical service robotsfrom a user experience perspective.”

    Researcher from China University of Mining and Technology Discusses Findings in Robotics (The application of Deep Learning in the field of Robotics)

    66-67页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on robotics are disc ussed in a new report. According to news reportingout of China University of Mi ning and Technology by NewsRx editors, research stated, “Abstract.”Our news editors obtained a quote from the research from China University of Min ing and Technology:“As a new field with rapid development in the past two decad es, deep learning has received more and moreattention from researchers. Neural network adopts widely interconnected structure and effective learningmechanisms to simulate the process of information processing in the human brain, which is an importantmethod in the development of artificial intelligence. Compared with shallow models, deep learning canachieve stronger unsupervised autonomous lear ning capabilities by increasing the number of layers of thenetwork. In the past , the robots needed to be controlled by the humans; they controlled the robot to finishdifferent tasks. In recent years, the researchers have tried to apply de ep learning in the field of robots.”

    Investigators from Clemson University Zero in on Robotics (Hopping Potential Wel ls and Gait Switching In a Fish-like Robot With a Bistable Tail)

    67-67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 originatingfrom Clemson, South Carolina, by New sRx correspondents, research stated, “Fish outperform currentunderwater robots in speed, agility, and efficiency of locomotion, in part due to their flexible a ppendagesthat are capable of rich combinations of modes of motion. In fish-like robots, actuating many differentmodes of oscillation of tails or fins can beco me a challenge.”

    University of California Reports Findings in Machine Learning (Synergistic bioph ysics and machine learning modeling to rapidly predict cardiac growth probabilit y)

    68-69页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reportingoriginating from Irvine, California, by NewsRx correspondents, research stated, “Computational modelsthat can predict g rowth and remodeling of the heart could have important clinical applications. Ho wever,the time it takes to calibrate and run current models while considering d ata uncertainty and variabilitymakes them impractical for routine clinical use. ”

    Research from Georgia Institute of Technology Broadens Understanding of Artifici al Intelligence (Heterogeneous Integration Technologies for Artificial Intellige nce Applications)

    68-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. Accordingto news originating from Atlanta , Georgia, by NewsRx correspondents, research stated, “The rapidadvancement of artificial intelligence (AI) has been enabled by semiconductor-based electronics .”

    New Findings in Hydraulic Engineering Described from Al-Qasim Green University ( Unlocking precision in hydraulic engineering: machine learning insights into lab yrinth sluice gate discharge coefficients)

    69-70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 hydraulic engineering i s now available. According to news reportingoriginating from Babylon, Iraq, by NewsRx correspondents, research stated, “ABSTRACT: This studyinvestigates the d ischarge coefficient (Cd) of labyrinth sluice gates, a modern gate design with c omplexflow characteristics.”

    Studies from School of Civil Engineering Update Current Data on Machine Learning (Optimized Machine Learning Methods for Identifying the Stiffness Loss of Crts- ii Slab Track Based On Vehicle Vibration Signals)

    70-71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 originating in Changsha, Pe ople’s Republic of China, by NewsRx journalists, research stated,“Vehicle loads and environmental actions inevitably cause stiffness loss in CRTS-II slab track . Accuratelyidentifying the stiffness loss of the slab track has been a crucial issue to the operation safety of vehicle-CRTS-II slab track coupled system (VSC S).”

    New Research on Artificial Intelligence from Shenzhen University Summarized (OTM -HC: Enhanced Skeleton-Based Action Representation via One-to-Many Hierarchical Contrastive Learning)

    71-72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 Shenzhen, People’ s Republic of China, by NewsRx editors, research stated, “Humanaction recogniti on has become crucial in computer vision, with growing applications in surveilla nce,human-computer interaction, and healthcare.”

    Findings on Machine Learning Detailed by Investigators at University of Basque C ountry (Adversarial Attacks In Explainable Machine Learning: a Survey of Threats Against Models and Humans)

    72-73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 newsoriginating from San Sebastian, Spain, by NewsRx correspondents, research stated, “Reliable deploymentof machine learn ing models such as neural networks continues to be challenging due to several li mitations.Some of the main shortcomings are the lack of interpretability and th e lack of robustness against adversarialexamples or out-of-distribution inputs. ”

    Findings from Indian Institute of Technology (IIT) Madras Yields New Data on Str ain Engineering (Assessment of Thermoelectric Properties of Bi2se3: Insights Fro m Hybrid Functional Studies, Strain Engineering, and Machine …)

    73-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Engineering - Strain E ngineering is the subject of a report. Accordingto news reporting out of Chenna i, India, by NewsRx editors, research stated, “Thermoelectric propertiesin topo logical insulator Bi2Se3 are explored with multifaceted strategies, i.e., hybrid functional with strainand artificial intelligence methodology. The assessment with the experimental band gap values recognizesthe limitations of conventional functional and the effectiveness of screened hybrid functionals.”