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    Unlocking tree genetic diversity: advanced hyperspectral phenotyping for enhanced Scots pine selection

    1-2页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Hyperspectral reflectance reveals critical leaf functional traits indicative of a plant’sphysiological status, providing a powerful tool for distinguishing seedlings adapted to specific environments.Current research explores intrapopulation variability and the necessity of high-throughput phenotyping(HTP) in forestry for selection of resilient genotypes under changing climatic conditions. However,challenges persist in managing large-scale phenotypic data and in the compatibility of reflectance dataacquired from various measurement approaches.

    Reports from Beijing Institute of Technology Advance Knowledge in Robotics (Design, Modeling, and Control of a Legless Squamate Reptiles Inspired Soft Crawling Robot)

    2-2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 available. According to news originating from Beijing,People’s Republic of China, by NewsRx correspondents, research stated, “For soft crawling robots movingin two-dimensional space, accurate dynamics models are the basis for control and navigation. However, itis still challenging for nonlinear and low-bandwidth soft robot systems.”

    Researcher at University of Ljubljana Targets Artificial Intelligence (Is Artificial Intelligence an Intelligence in the True Sense of the Word? The Issue of Mental Characteristics and Generality)

    3-3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 artificial intelligence. According to news originating fromthe University of Ljubljana by NewsRx correspondents, research stated, “The central question of the articleis already formulated in the title. The author advocates a minimal definition of intelligence: intelligence isindependent problem solving.”

    Researchers at West University of Timisoara Target Artificial Intelligence (Integration of Artificial Intelligence in the Risk Management Process: An Analysis of Opportunities and Challenges)

    3-4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 intelligence is the subject of a new report. According to newsreporting from Timisoara, Romania, by NewsRx journalists, research stated, “Enterprise risk managementis a critical component in achieving long-term performance in any company seeking to achieve long-termresults. Businesses face a variety of inte

    Reports from University of Science and Technology China Provide New Insights into Machine Learning (A Comprehensive Pyrolysis Study of Sorghum and Reed Stalk: Tg/ir/ms Analysis and Machine Learning-assisted Kinetic Prediction)

    4-5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 reportingfrom Hefei, People’s Republic of China, by NewsRx journalists, research stated, “This work focused oninvestigating the pyrolysis characteristics of sorghum stalk (SS) and reed stalk (RS), whose potentialityas value-added feedstocks for thermochemical conversion is largely unexplored. The experimental method,thermogravimetric-infrared-mass spectrometry, was applied to reveal the thermal decomposition process,evaluate the kinetic and thermodynamic parameters, and identify the gaseous products, which could providefundamental data and valuable information for bioenergy utilization and optimization of reactors.”

    Investigators at University of Skovde Detail Findings in Robotics (Balancing and Scheduling Human-robot Collaborated Assembly Lines With Layout and Objective Consideration)

    5-6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 subject of a report. According to news reportingoriginating in Skovde, Sweden, by NewsRx journalists, research stated, “The recent Industry 4.0 trend,followed by the technological advancement of collaborative robots, has urged many industries to shifttowards new types of assembly lines with human-robot collaboration (HRC). This type of manufacturingline, in which human skill is supported by robot agility, demands an integrated balancing and schedulingof tasks and operators among the stations.”

    Autonomous University San Luis Potosi Reports Findings in Artificial Intelligence (Application of artificial intelligence for the optimization of advanced oxidation processes to improve the water quality polluted with pharmaceutical compounds)

    6-7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 Intelligence is the subject of a report. According to newsreporting originating in San Luis Potosi, Mexico, by NewsRx journalists, research stated, “Sulfamethoxazoleand metronidazole are emerging pollutants commonly found in surface water and wastewater. Thesecompounds have a significant environmental impact, being necessary in the design of technologies for theirremoval.”

    Researcher at Yancheng Institute of Technology Discusses Research in Robotics (Trajectory planning of tire laser engraving orthogonal robot based on an improved multi-objective grasshopper optimization algorithm)

    7-8页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on robotics. According to news originating from Jiangsu, People’sRepublic of China, by NewsRx correspondents, research stated, “The traditional tire laser engraving robotshave the low and stable running capability and discontinuous motion trajectory during operation, leadingto long running time, high energy consumption, and uneven operation.”

    Data from National Institute of Technology Karnataka Provide New Insights into Machine Learning (Characterizing Structural Heterogeneity In Metallic Glasses: a Molecular Dynamics-guided Machine Learning Approach)

    8-9页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Machine Learning. According to news reporting originating inMangaluru, India, by NewsRx journalists, research stated, “The main objective of this research is todevelop a robust Bayesian machine learning (ML) model capable of predicting and characterizing thestructural heterogeneity in metallic glasses (MGs). The model is constructed using input data obtainedfrom molecular dynamics simulations of CuZr MGs, encompassing a wide range of alloying compositionsand simulation parameters.”

    New Machine Learning Findings from Sichuan University Described (Prediction of Thermodynamic Stability of Actinide Compounds By Machine Learning Model)

    9-10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 Learning have been published. According to newsreporting out of Chengdu, People’s Republic of China, by NewsRx editors, research stated, “The thermodynamicphase stability plays a crucial role as it serves as a fundamental parameter governing thesynthesizability of materials and their potential for degradation under specific operating conditions. Inthis study, two machine learning (ML) models, random forest (RF) and neural network (NN), were usedto predict the thermodynamic phase stability of actinide compounds using a dataset consisting of 62204DFT-calculated en-ergies.”