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    Research from University of Utah Provides New Data on MachineLearning (Impact o f classical statistics on thermal conductivity predictions of Bas and diamond us ing machine learning molecular dynamics)

    57-57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 reportingout of the University of Utah by Ne wsRx editors, research stated, “Machine learning interatomic potentials(MLIPs) have greatly enhanced molecular dynamics (MD) simulations, achieving near-first- principlesaccuracy in thermal conductivity studies.”

    University of Gothenburg Reports Findings in Artificial Intelligence [Studies Evaluating Artificial Intelligence (AI) Large Language Models Ability to Respond to Questions Are Repetitive and Out-of-Date: AI Must Now Be Applied to Improving …]

    58-58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 newsoriginating from Gothenburg, Swe den, by NewsRx editors, the research stated, “While artificial intelligence(AI) technologies like ChatGPT have demonstrated very real and powerful capabilities to date, this does notmean that research studying these technologies is immune from ‘shiny object’ syndrome, a psychologicalphenomenon where we tend to focus on new and fashionable ideas only to be distracted from those thattruly matter . In parallel with the increased publicity that AI has received since the releas e of large languagemodels (LLMs) like ChatGPT has been an explosion in the numb er of studies evaluating LLMs’ ability toanswer hypothetical questions from pat ients on a variety of conditions.”

    Data on Robotics Described by a Researcher at Shenyang University of Chemical Te chnology (High-Resolution Infrared Reflectance Distribution Measurement Under Va riable Temperature Conditions)

    59-59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 originating from Shenyang,People’s Republic of China, by N ewsRx correspondents, research stated, “The bidirectional reflectancedistributi on function (BRDF) can effectively characterize the reflectance properties of a target, which canbe used to correct infrared remote sensing data and improve th e accuracy of remote sensing measurements.”

    Nankai University Reports Findings in Robotics (Viscoelastic modeling based forc e control framework for enhancing operation safety of soft tissue for orthopedic surgical robots)

    60-60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 report. According to news reportingoriginating in Tianjin, People’s Repu blic of China, by NewsRx journalists, research stated, “In robotassistedlamine ctomy, precise control of touch force on the spinal cord during the dissection o f ossifiedligaments is critical to prevent dura mater tearing and ensure surgic al safety. However, the complexviscoelastic characteristics of tissue at the le sion site pose a significant challenge for accurately applyingtouch force.”

    New Findings Reported from Sandia National Laboratories DescribeAdvances in Mac hine Learning (Boosting Barlow Twins ReducedOrder Modeling for Machine Learning -based Surrogate Models In Multiphase Flow Problems)

    61-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news originatingfrom Albuquerque, New Mexico, by NewsRx correspondents, research stated, “We present an innovativeapproach calle d boosting Barlow Twins reduced order modeling (BBT-ROM) to enhance the reliabil ity ofmachine learning surrogate models for multiphase flow problems. BBT-ROM b uilds upon Barlow Twinsreduced order modeling that leverages self-supervised le arning to effectively handle linear and nonlinearmanifolds by constructing well -structured latent spaces of input parameters and output quantities.”

    Study Findings from Eastern Institute of Technology Broaden Understanding of Art ificial Intelligence (Discovering an Interpretable Mathematical Expression for a Full Wind-turbine Wake With Artificial Intelligence Enhanced Symbolic Regression)

    62-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Artificial Intelligence are present ed in a new report. According to news originatingfrom Ningbo, People’s Republic of China, by NewsRx correspondents, research stated, “The rapid expansionof wi nd power worldwide underscores the critical significance of engineering-focused analytical wake modelsin both the design and operation of wind farms. These the oretically derived analytical wake models havelimited predictive capabilities, particularly in the near-wake region close to the turbine rotor, due to assumptions that do not hold.”

    Data from University of Carlos Ⅲ Madrid Provide New Insights into Intelligent Transport Systems (Organizing Planning Knowledge for Automated Vehicles and Inte lligent Transportation Systems)

    63-63页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Transportat ion - Intelligent Transport Systems. According tonews originating from Madrid, Spain, by NewsRx correspondents, research stated, “Intelligent TransportationSy stems (ITS) are crucial for developing fully automated vehicles. While significa nt progress has beenmade with advanced driver assistance systems and automation technology, challenges remain, such as improvingtraffic information, enhancing planning and control systems, and developing better decision-makingcapabilitie s.”

    Data on Machine Learning Detailed by Researchers at UniversityRovira I Virgili (Federated Learning-based Natural Language Processing: a Systematic Literature R eview)

    64-64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 Machine Learning. According to news reportingfrom Catalonia, Spain, by NewsRx j ournalists, research stated, “Federated learning (FL) is a decentralizedmachine learning (ML) framework that allows models to be trained without sharing the pa rticipants’ localdata. FL thus preserves privacy better than centralized machin e learning.”

    Data on Machine Learning Reported by Researchers at Taiyuan University of Scienc e & Technology (Multi-task Learning Model of Continuous Casting Sl ab Temperature Based On Dnns and Shap Analysis)

    65-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. Accordingto news reporting from Shanxi, People’s Republic of China, by NewsRx journalists, research stated, “Inthe process of c ontinuous casting, the slab temperature is a particularly crucial production par ameter.However, it is still being monitored on the surface of the slab.”

    New Robotics Findings Has Been Reported by Investigators at German Aerospace Cen ter (Improving Efficiency of Human-robot Coexistence While Guaranteeing Safety: Theory and User Study)

    66-66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 Robotics. According to news reporting originatingfrom Wessling, Germany, by New sRx correspondents, research stated, “Guaranteeing safety for humans inshared w orkspaces is not trivial. Not only must all possible situations be provably safe , but the humanmust feel safe as well.”