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    Research to use machine learning to ‘reverse-engineer’ new composite materials

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – BINGHAMTON, N.Y. – When creating new materials for our modern needs, materials science engineers face a basic problem : Designing it to be strong when faced with loads in one direction may lead to s tructural weaknesses when facing stress from a different direction. Binghamton University, State University of New York Assistant Professors Mir Jal il Razavi and Dehao Liu want to develop a solution using artificial intelligence and machine learning to suggest unique types of composite materials that meet s pecific mechanical behavior requirements. “When we look at materials now, we usually tune mechanical properties in one dir ection,” Razavi said. “For example, they can absorb the shock in ‘x’ direction, but they don’t pay attention to what will happen to the ‘y’ or ‘z’ direction. Wh ile we strengthen in one direction, maybe we’ll compromise their mechanical properties in the other directions.”

    Data from Huazhong University of Science and Technology Advance Knowledge in Mac hine Learning (Accurate Machine-learning-based Prediction of Aerodynamic and Heat Transfer Coefficients for Cylindrical Biomass Particles)

    2-3页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Machine Learning. According to news reporting out of Wuhan, People’s Republic of China, by NewsRx editors, research stated, “Cylindrical biomass (straw) particles play a crucial role in the numerical simulations of biomass co-firing in coalfired boilers, whe rein the aerodynamic and heat transfer coefficients of these particles are parti cularly important. Despite the existence of models proposed thus far for various specific conditions, developing a universal model for cylindrical particles rem ains challenging in multiphase flow systems.”

    Reports from Portland State University Add New Data to Findings in Robotics (Rec onciling Technophilia and Technophobia Using Intrarole Identity Tensions: a Para dox Theory Perspective)

    3-4页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented in a new report. According to news reporting originating in Portland, Oregon, by NewsRx journalists, research stated, “The application of social service robots i n organizational contexts may be perceived negatively or positively, shaping var ying forms of intrarole identities. Positive perceptions and attitudes are mostly referred to the concept of technophilia, a strong enthusiasm for new technolog ies.”

    Xinjiang University Reports Findings in Robotics (Motion capture and AR based pr ogramming by demonstration for industrial robots using handheld teaching device)

    4-5页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting out of Urumqi, People’s Republic of China, by NewsRx editors, research stated, “In the industrial robots field, effic ient and convenient programming methods have been a hot research topic. In recent years, immersive simulation technology has been developing rapidly in many fie lds, which provides new horizons for the development of industrial robots.”

    Study Data from University of Kentucky Update Understanding of Artificial Intell igence (Generative Artificial Intelligence and Prompt Engineering: A Primer for Orthopaedic Surgeons)

    5-5页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting out of Lexington, Kentucky, by New sRx editors, research stated, “: •» Generative artificial intelligence (AI), a r apidly evolving field, has the potential to revolutionize orthopedic care by enh ancing diagnostic accuracy, treatment planning, and patient management through d ata-driven insights and personalized strategies.”

    Studies from University of Rostock Describe New Findings in Artificial Intellige nce (Optical Surface Roughness Estimation Using Artificial Intelligence)

    6-6页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Artific ial Intelligence. According to news reporting originating from Rostock, Germany, by NewsRx correspondents, research stated, “A system for analysing steel plates is presented for an application in the wind power industry. The objective of th e system is to assess the surface roughness as a preliminary step for the applic ation of an anti-corrosion coating.”

    Researchers from Indian Institute of Technology (IIT) Kanpur Describe Findings in Machine Learning (Machine Learning Driven Advancements In Catalysis for Predic ting Hydrogen Evolution Reaction Activity)

    6-7页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting from Kanpur, India, by NewsRx journalists , research stated, “In the field of catalysis research, the emergence of machine learning (ML) has triggered a significant transformation, revolutionizing our m ethodologies for exploring and comprehending the dynamics of hydrogen evolution reaction (HER) activity. This review explores the burgeoning adoption of ML tech niques in catalysis research, with a particular focus on their application in pr edicting HER activity.”

    New Machine Learning Findings from National University Described (Geometallurgic al model of the work index for a porphyry copper deposit by machine learning)

    7-8页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news originating from National University by NewsRx correspondents, research stated, “The development of mining project s in the exploration and pre-feasibility stages involves challenges related to g eological and processing heterogeneity and uncertainty due to variability in the ir primary and response attributes.”

    University of Zagreb Researcher Updates Knowledge of Machine Learning (Comparing Machine Learning Models for Sentiment Analysis and Rating Prediction of Vegan and Vegetarian Restaurant Reviews)

    8-9页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news originating from Zagreb, Croat ia, by NewsRx editors, the research stated, “The paper investigates the relation ship between written reviews and numerical ratings of vegan and vegetarian resta urants, aiming to develop a predictive model that accurately determines numerica l ratings based on review content.”

    Research Findings from NASA Ames Research Center Update Understanding of Machine Learning (Forecasting Solar Energetic Particle Events During Solar Cycles 23 an d 24 Using Interpretable Machine Learning)

    9-10页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Moffett Field, California, by NewsRx editors, research stated, “The prediction of solar energe tic particle (SEP) events garners increasing interest as space missions extend b eyond Earth’s protective magnetosphere.”