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    New Machine Learning Study Findings Reported from Integral University (Water Tra nsmissible Pavement: a Physics of Granular Sub-base Permeability Through Road Du st Analysis Using Machine Learning)

    78-79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 Uttar Pradesh, India, by NewsRx editors, research stated, “Amidst the rapid urbanizationand heightene d infrastructure demands, contemporary cities are capitalizing on every availabl e space,converting previously permeable land into impermeable surfaces. This tr ansition obstructs the absorptionof storm water, leading to intensified runoff. ”

    Research on Machine Learning Described by a Researcher at Technical University F ederico Santa Maria (A Cyborg Walk for Urban Analysis? From Existing Walking Met hodologies to the Integration of Machine Learning)

    79-79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 reporting out of Santiag o, Chile, by NewsRx editors, research stated, “Although walking methodologies(W Ms) and machine learning (ML) have been objects of interest for urban scholars, it is difficultto find research that integrates both.”Funders for this research include Cedeus; Anid Fondecyt Iniciacion.

    Research Reports on Artificial Intelligence from Kazimierz Wielki University Pro vide New Insights (Use of Machine Learning to Improve Additive Manufacturing Pro cesses)

    80-80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 Bydgoszcz, Poland , by NewsRx editors, research stated, “Rapidly developing artificialintelligenc e (AI) can help machines and devices to perceive, analyze, and even make inferen ces ina similar way to human reasoning. The aim of this article is to present a pplications of AI methods,including machine learning (ML), in the design and su pervision of processes used in the field of additivemanufacturing techniques.”

    New Artificial Intelligence Study Results Reported from University of Michigan ( Development and Validation of an Artificial Intelligence Model To Accurately Pre dict Spinopelvic Parameters)

    81-81页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Artificial Intelligen ce have been presented. According to newsreporting originating from Ann Arbor, Michigan, by NewsRx correspondents, research stated, “Achievingappropriate spin opelvic alignment has been shown to be associated with improved clinical symptom s.However, measurement of spinopelvic radiographic parameters is time -intensiv e and interobserver reliabilityis a concern.”

    University of Texas Southwestern Medical Center Reports Findings in Artificial I ntelligence (Generative artificial intelligence versus clinicians: Who diagnoses multiple sclerosis faster and with greater accuracy?)

    82-83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 out of Dallas, Texas, by NewsRx editors, research stated, “Those receiving the diagnosisof multiple s clerosis (MS) over the next ten years will predominantly be part of Generation Z (GenZ). Recent observations within our clinic suggest that younger people with MS utilize online generativeartificial intelligence (AI) platforms for persona lized medical advice prior to their first visit with a specialistin neuroimmuno logy.”

    Research on Machine Learning Published by Researchers at Hong Kong University of Science and Technology (Applying Machine Learning Methods to Improve Rainfall-R unoff Modeling in Subtropical River Basins)

    83-84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 reporting from Guangzhou , People’s Republic of China, by NewsRx journalists, research stated,“Machine l earning models’ performance in simulating monthly rainfall-runoff in subtropical regions hasnot been sufficiently investigated.”Financial supporters for this research include Hongkong-macau Center of Ocean Re search; GuangzhouTechnology Bureau And Hongkong University of Science And Techn ology; Chinese Academy of ScienceEarth System Simulator Program; Research Grant s Council of The Hong Kong Special AdministrativeRegion.

    East China Normal University Reports Findings in Machine Learning (Using machine learning to reveal drivers of soil microplastics and assess their stock: A nati onal-scale study)

    84-85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 Shanghai, People’s Rep ublic of China, by NewsRx editors, research stated, “The issueof microplastic ( MP) contamination in soil is a significant concern. However, due to limited larg e-scalestudies and stock assessments, our understanding of the drivers of their distribution and fate remainsincomplete.”

    Findings on Robotics Reported by Investigators at Monash University (Contingent Autonomy: Robotic Encounters In an Uncertain World)

    85-86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 Caulfield, Australia, by NewsRx editors, research stated, “In this article, we develop aframework for robotic autonomy as contingent. We do so with an account of a series of online researchworkshops that asked people to design and test robot behaviours for a p ublic space scenario of their choice,as a means to surface and discuss their un derstandings of robots.”

    Researcher at Technical University Valencia (TU Valencia) Zeroes in on Robotics (Comparative Study of Methods for Robot Control with Flexible Joints)

    86-86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 originatingfrom Valencia, Spain, by NewsRx corre spondents, research stated, “Robots with flexible joints are gainingimportance in areas such as collaborative robots (cobots), exoskeletons, and prostheses.”Our news journalists obtained a quote from the research from Technical Universit y Valencia (TUValencia): “They are meant to directly interact with humans, and the emphasis in their construction isnot on precision but rather on weight redu ction and soft interaction with humans. Well-known rigid robotcontrol strategie s are not valid in this area, so new control methods have been proposed to deal with thecomplexity introduced by elasticity. Some of these methods are seldom u sed and are unknown to most ofthe academic community. After selecting the metho ds, we carried out a comprehensive comparative studyof algorithms: simple gravi ty compensation (Sgc), the singular perturbation method (Spm), the passivitybased approach (Pba), backstepping control design (Bcd), and exact gravity cancella tion (Egc). Wemodeled these algorithms using MATLAB and simulated them for diff erent stiffness levels. Furthermore,their practical implementation was analyzed from the perspective of the magnitudes to be measured andthe computational cos ts of their implementation.”

    Rajamangala University of Technology Thanyaburi Reports Findings in Machine Lear ning (Seismic hazard analysis and financial impact assessment of railway infrast ructure in the US West Coast: A machine learning approach)

    87-87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 Pathum Thani, Thailand, by NewsRx journalists, research stated, “This researchexamines the se ismic hazard impact on railway infrastructure along the U.S. West Coast (Washing ton,Oregon and California), using machine learning to explore how measures of s eismic hazard such as faultdensity, earthquake frequency, and ground shaking re late to railway infrastructure accidents.”