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    Research from University of North Carolina Charlotte Provides New Data on Machin e Learning (Enhancing CFD Predictions with Explainable Machine Learning for Aero dynamic Characteristics of Idealized Ground Vehicles)

    19-20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 Charlotte, North Carolina, by NewsRx editors, research stated, “Computational fluiddynamic (CFD) models and workflows are often developed in an ad hoc manner, leading to a limi tedunderstanding of interaction effects and model behavior under various condit ions.”

    Data from National Institute for Materials Science Provide New Insights into Art ificial Intelligence (AIPHAD, an active learning web application for visual unde rstanding of phase diagrams)

    20-21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 reportingoriginating from the Nation al Institute for Materials Science by NewsRx correspondents, research stated,“P hase diagrams provide considerable information that is vital for materials explo ration.”

    Xinjiang University Researcher Publishes New Study Findings on Machine Learning (A Fair Contribution Measurement Method for Federated Learning)

    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 artificial intelligenc e is the subject of a new report. According tonews reporting originating from U rumqi, People’s Republic of China, by NewsRx correspondents, researchstated, “F ederated learning is an effective approach for preserving data privacy and secur ity, enablingmachine learning to occur in a distributed environment and promoti ng its development. However, anurgent problem that needs to be addressed is how to encourage active client participation in federatedlearning.”

    University of Regensburg Reports Findings in Artificial Intelligence(Real-world analysis of brain atrophy in multiple sclerosis patients with an artificial int elligence based software tool)

    22-23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 to newsreporting out of Regensburg, Ger many, by NewsRx editors, research stated, “Atrophy of white and greymatter volu mes occurs early in the brains of people with multiple sclerosis (pwMS) and has great clinicalrelevance. In clinical trials, brain atrophy can be quantified by magnetic resonance imaging (MRI) withautomated software tools.”

    University of Sheffield Reports Findings in Robotics (Decision Makingfor Multi- robot Fixture Planning Using Multi-agent Reinforcement Learning)

    23-24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 originating from Sheffield, U nited Kingdom, by NewsRx correspondents, research stated, “Withinthe realm of f lexible manufacturing, fixture layout planning allows manufacturers to rapidly d eploy optimalfixturing plans that can reduce surface deformation that leads to crack propagation in components duringmanufacturing tasks. The role of fixture layout planning has evolved from being performed by experiencedengineers to com putational methods due to the number of possible configurations for components.”

    Investigators from Imperial College London Zero in on Machine Learning (Predicti ng the Effect of Hydrogen Enrichment On the Flame Describing Function Using Mach ine Learning)

    24-25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 London, United Kingdom , by NewsRx correspondents, research stated, “As a promisingstrategy to mitigat e carbon emissions, hydrogen enrichment of conventional fuels is gaining increasing interest, but can lead to increased propensity to damaging thermoacoustic in stability. This paperdemonstrates the ability of machine learning algorithms to reliably predict a key flame behavior relevantto thermoacoustic stability pred iction - the flame’s nonlinear response to upstream acoustic forcing.”

    New Artificial Intelligence Findings from Institute of Astrophysics Canarias Out lined (Constraints On the In Situ and Ex Situ Stellar Masses In Nearby Galaxies Obtained With Artificial Intelligence)

    25-26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 Artificial In telligence have been published. According to newsreporting from San Cristobal l a Laguna, Spain, by NewsRx journalists, research stated, “The hierarchicalmodel of galaxy evolution suggests that mergers have a substantial impact on the intr icate processes thatdrive stellar assembly within a galaxy. However, accurately measuring the contribution of accretion to agalaxy’s total stellar mass and it s balance with in situ star formation poses a persistent challenge, as it isnei ther directly observable nor easily inferred from observational properties.”

    Tanta University Researcher Yields New Study Findings on Machine Learning (How C an Soil Quality Be Accurately and Quickly Studied? A Review)

    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 ar tificial intelligence. According to news reportingoriginating from Tanta, Egypt , by NewsRx correspondents, research stated, “Evaluating soil quality iscrucial for ensuring the sustainable use of agricultural lands. This review examines th e definition, evaluationmethods, indicator selection, and relevant case studies .”

    Study Data from Zhejiang University of Technology Update Understandingof Machin e Learning (Transfer learning across different chemical domains: virtual screeni ng of organic materials with deep learning models pretrained on small molecule a nd …)

    27-28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 reportingout of Zhejiang University of Technology by NewsRx editors, research stated, “Machine learning is becominga preferred method for the virtual screening of organic materials due to its cos t-effectiveness over traditionalcomputationally demanding techniques. However, the scarcity of labeled data for organic materials posesa significant challenge for training advanced machine learning models.”

    Study Results from Shanghai Jiao Tong University in the Area of Robotics Reporte d (A Compact Gesture Sensing Glove for Digital Twin of Hand Motion and Robot Tel eoperation)

    28-29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 in Shanghai, People’s R epublic of China, by NewsRx journalists, research stated, “Captureof hand gestu res using data gloves has a wide range of applications in human-machine interact ion, e.g.Virtual-reality manipulation and robot teleoperation. In this article, a compact wearable sensing glove isdeveloped using largely deformed flexible b eams embedded with strain gauges.”