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    Researchers from Yunnan Normal University Report New Studies and Findings in the Area of Machine Learning (Combined Machine Learning and High-throughput Calcula tions Predict Heyd-scuseriaernzerhof Band Gap of 2d Materials and Potential ... )

    40-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting originating from Kunming, People’s Repub lic of China, by NewsRx correspondents, research stated, “We present a novel tar get-driven methodology devised to predict the Heyd-Scuseria-Ernzerhof (HSE) band gap of two-dimensional (2D) materials leveraging the comprehensive C2DB databas e. This innovative approach integrates machine learning and density functional t heory (DFT) calculations to predict the HSE band gap, conduction band minimum (C BM), and valence band maximum (VBM) of 2176 types of 2D materials.”

    Hong Kong Polytechnic University Researcher Describes Recent Advances in Robotics (Discrete-Time Impedance Control for Dynamic Response Regulation of Parallel Soft Robots)

    41-42页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ro botics. According to news originating from Hong Kong Polytechnic University by N ewsRx correspondents, research stated, “Accurately controlling the dynamic respo nse and suppression of undesirable dynamics such as overshoots and vibrations is a vital requirement for soft robots operating in industrial environments. Pneum atically actuated soft robots usually undergo large overshoots and significant v ibrations when deactuated because of their highly flexible bodies.”

    Researchers from East China Normal University Detail New Studies and Findings in the Area of Artificial Intelligence (A Survey of Explainable Knowledge Tracing)

    42-42页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Artificial Intelligence is now ava ilable. According to news reporting originating in Shanghai, People’s Republic o f China, by NewsRx journalists, research stated, “With the long-term accumulatio n of high-quality educational data, artificial intelligence (AI) has shown excel lent performance in knowledge tracing (KT). However, due to the lack of interpre tability and transparency of some algorithms, this approach will result in reduc ed stakeholder trust and a decreased acceptance of intelligent decisions.”

    Reports Outline Computational Intelligence Study Results from Xidian University (Global Bipartite Exact Consensus of Unknown Nonlinear Multi-agent Systems With Switching Topologies: Iterative Learning Approach)

    43-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning - Comp utational Intelligence is now available. According to news reporting originating in Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “ In this paper, a novel global adaptive iterative learning bipartite consensus co ntrol algorithm is proposed for a class of uncertain nonlinear second-order mult i-agent systems with time-varying disturbances, in which the communication topol ogy among all agents switches relying both on time and iteration. By signal repl acement technique, we apply the neural networks to describe the unknown nonlinea r dynamics of each agent, overcoming the defect of semi-global results in existi ng works and obtaining the global results.”

    Researchers from Imperial College London Report Recent Findings in Artificial Intelligence (Quantum pathways for charged track finding in high-energy collisions )

    44-45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 London, United Ki ngdom, by NewsRx correspondents, research stated, “In high-energy particle colli sions, charged track finding is a complex yet crucial endeavor.”

    Friedrich-Alexander-University Erlangen-Nurnberg (FAU) Researchers Provide New Insights into Machine Learning (A wearable sensors dataset for stress & boredom associated activity recognition)

    44-44页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting from Erlangen, Germany, by NewsRx journalists, research stated, “This article presents a dataset of activit ies associated with stress and boredom obtained through wearable sensors.”

    Reports from Swiss Federal Institute of Technology Lausanne (EPFL) Provide New Insights into Robotics (Tube Acceleration: Robust Dexterous Throwing Against Release Uncertainty)

    45-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news reporting originating in Ecublens, Switzerland, by New sRx journalists, research stated, “In robotic throwing, the release phase involv es complex dynamic interactions due to object deformation and limited gripper op ening speed, often resulting in inaccurate and nonrepeatable throws. While data- driven methods can be employed to compensate for the release uncertainty, the ge neralizability of learned models to unseen objects is not guaranteed, and object -specific fine-tuning with new data may be required.”

    Researcher from Leipzig University of Applied Sciences Details Findings in Robotics (Analysis and Modeling of the System Boundaries of a High-Speed Direct-Yarn- Placement System for In Situ Impregnation of Carbon Fibre Heavy Towsas Textile ...)

    46-47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 new report. According to news reporting originating from Leipzig, Germany , by NewsRx correspondents, research stated, “This study investigates a novel ap proach in modeling the system limits of a braked, high-speed yarn-laying process with in situ impregnation. Special attention is paid to the investigation of th e yarn spool overrun after the robot has come to a standstill.”

    New Findings from University of Toronto in the Area of Artificial Intelligence Described (In Silico Chemical Experiments In the Age of Ai: From Quantum Chemistry To Machine Learning and Back)

    47-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ar tificial Intelligence. According to news reporting originating from Toronto, Can ada, by NewsRx correspondents, research stated, “Computational chemistry is an i ndispensable tool for understanding molecules and predicting chemical properties . However, traditional computational methods face significant challenges due to the difficulty of solving the Schr & ouml;dinger equations and the increasing computational cost with the size of the molecular system.”

    Researcher from University of Science and Technology Publishes New Studies and Findings in the Area of Robotics (Ina: Intelligent Nursing Assistant Robot For Qu arantine Management Utilizing Haar Cascade Algorithm And Cagebot Materials)

    48-49页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on robotics. Acc ording to news reporting out of the University of Science and Technology by News Rx editors, research stated, “The Intelligent Nursing Assistant Robot (INA) emer ged as an innovative solution with COVID straining the healthcare systems and ov er 180 million cases globally by April 2021.”