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    University of Vienna Researcher Updates Current Study Findings on Machine Learni ng (Density-based long-range electrostatic descriptors for machine learning forc e fields)

    86-86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 to newsreporting from the University o f Vienna by NewsRx journalists, research stated, “This study presents along-ran ge descriptor for machine learning force fields that maintains translational and rotational symmetry,similar to short-range descriptors while being able to inc orporate long-range electrostatic interactions. Theproposed descriptor is based on an atomic density representation and is structurally similar to classical short-range atom-centered descriptors, making it straightforward to integrate into machine learning schemes.”

    Findings from Zhejiang University Reveals New Findings on Machine Learning (High -throughput Screening of Dual-atom Catalysts for Methane Combustion: a Combined Density Functional Theory and Machine-learning Study)

    87-88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 Ma chine Learning. According to news reportingoriginating in Hangzhou, People’s Re public of China, by NewsRx journalists, research stated, “Ceriasupportedprecio us metal catalysts have undergone extensive investigation for the catalytic meth anecombustion. However, it remains a significant challenge to achieve both high ly synergistic oxidationactivity and efficient atom utilization remains a chall enge for commonly used supported nanoparticles andsingle-atom catalysts.”

    Studies from St. Mary’s University in the Area of Artificial Intelligence Descri bed (Explanation Seeking and Anomalous Recommendation Adherence In Human-to-huma n Versus Human-to-artificial Intelligence Interactions)

    88-88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 to newsreporting originating from Hali fax, Canada, by NewsRx correspondents, research stated, “The use ofartificial i ntelligence (AI) in operational decision-making is growing, but individuals can display algorithmaversion, preventing adherence to AI system recommendations-ev en when the system outperforms humandecision-makers. Understanding why such alg orithm aversion occurs and how to reduce it is important toensure AI is fully l everaged.”

    Findings from University of Jinan Reveals New Findings on Machine Learning (The Perception of Policy Uncertainty and the Labor Income Share of Firms: Empirical Research Based On Double Machine Learning)

    89-90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 Machine Learning is now available. According to news reportingoriginating in Guangzhou, People’s Repub lic of China, by NewsRx journalists, research stated, “Based onthe double machi ne learning model, this study examines the impact of perception of policy uncert ainty(PPU) on labor income share (LIS). We find that PPU negatively influences LIS.”

    Studies from Harbin Institute of Technology in the Area of Robotics Published (Q uadruped Robots Gait Planning and Kinematic Analysis)

    89-89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 new report. According to news reportingoriginating from Harbin, People’s Republic of China, by NewsRx correspondents, research stated,“Quadruped robots imitate the gait of animals in nature to achieve flexible and stable movement.”

    Study Results from Zhejiang University Broaden Understanding of Robotics (An Eff icient Single-shot Global Localization Method for Indoor Mobile Robots Usingphas e Correlation)

    90-91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 Hangzhou,People’s Republic of China, by New sRx journalists, research stated, “The purposes of this paper are tosolve the l ow-efficiency problem caused by large search space in global localization and de velop an efficientglobal localization method requiring only one 2D-LiDAR scan t o match against the prior map for indoormobile robots. Design/methodology/appro ach - This paper solves the global localization problem usingphase correlation as the underlying registration method.”

    Sun Yat-Sen University Researcher Describes Recent Advances in Artificial Intell igence (The Analysis of the Abnormal Return Rate of Platform Enterprises)

    91-92页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New study results on artificial intelligence have been published. According to news reportingoriginating from Zhuhai, People’s R epublic of China, by NewsRx correspondents, research stated, “It is adefinite t rend that AI technology has become a new important factor of production.”

    Reports from Nanyang Technological University Advance Knowledge in Machine Learn ing (Advanced Designs and Optimization for Efficiently Enhancing Shipboard Co2 C apture)

    92-93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 newsoriginating from Singapore, Singapore , by NewsRx correspondents, research stated, “Shipboard CO2capture (SCC) proces ses face significant challenges, including high costs and the need for extra hea tingenergy to capture 90% of the CO2. Therefore, this study propo ses advanced designs and an integrationframework using correlation analysis and machine learning-based optimization to achieve the energy- andcost-effective S CC process.”

    Researchers from Ohio State University Provide Details of New Studies and Findin gs in the Area of Machine Learning (Applying Machine-learning Methods To Laser A cceleration of Protons: Lessons Learned From Synthetic Data)

    93-94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 Columbus, Oh io, by NewsRx journalists, research stated, “In this study, we considerthree di fferent machine-learning methods-a three-hidden-layer neural network, support ve ctor regression,and Gaussian process regression-and compare how well they can l earn from a synthetic data set for protonacceleration in the Target Normal Shea th Acceleration regime. The synthetic data set was generated froma previously p ublished theoretical model by Fuchs et al. 2005 that we modified.”

    Findings from Leiden University Has Provided New Data on Machine Learning (Machi ne Learning To Support Prospective Life Cycle Assessment of Emerging Chemical Te chnologies)

    94-95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 Machine Learning is now available. According to news originatingfrom Leiden, Netherlands, by NewsRx co rrespondents, research stated, “Increasing calls for safer andmore sustainable approaches to innovation in the chemical sector necessitate adapted methods for theenvironmental assessment of emerging chemical technologies. While these tech nologies are still in theresearch and development phase, gaining an early under standing of their potential implications is crucialfor their eventual introduct ion into markets worldwide.”