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    Findings from Peking University Update Understanding of Artificial Intelligence (1+1 >2? Information, Humans, and Machines)

    38-39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 from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “With the explosive growth of data and the rapid rise of artificial intelligence and automated working proc esses, humans inevitably fall into increasingly close collaboration with machine s as either employees or consumers. Problems in human-machine interaction arise as a consequence, not to mention the dilemmas posed by the need to manage inform ation on ever-expanding scales.”

    Study Findings on Robotics Are Outlined in Reports from Beijing Institute of Tec hnology (Mtgrasp: Multiscale 6-dof Robotic Grasp Detection)

    39-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Data detailed on Robotics have been presented. Ac cording to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “The actual grasping scenarios are of ten complex, and achieving reliable and stable robot grasping in complex scenes is an important problem. Due to its high flexibility, 6-DoF grasping methods are well-suited for representing grasping poses in complex scenes.”

    New Findings from University of Sydney Update Understanding of Machine Learning (Dynamic Optimisation for Graded Tissue Scaffolds Using Machine Learning Techniq ues)

    40-41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 Machine Learn ing have been published. According to news reporting out of Sydney, Australia, b y NewsRx editors, research stated, “Tissue scaffolds have emerged as a promising solution for treatment of critical size bone defects, offering significant adva ntages over conventional strategies. One of the key functionalities of bone scaf folds is their ability to promote long-term bone ingrowth effectively.”

    Researchers from Indiana University-Purdue University Describe Findings in Artif icial Intelligence (XAI-IDS: Toward Proposing an Explainable Artificial Intellig ence Framework for Enhancing Network Intrusion Detection Systems)

    41-42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 artificial intelligenc e is the subject of a new report. According to news originating from Indianapoli s, Indiana, by NewsRx correspondents, research stated, “The exponential growth o f network intrusions necessitates the development of advanced artificial intelli gence (AI) techniques for intrusion detection systems (IDSs). However, the relia nce on AI for IDSs presents several challenges, including the performance variab ility of different AI models and the opacity of their decision-making processes, hindering comprehension by human security analysts.”

    New Machine Translation Study Findings Have Been Reported by Researchers at Univ ersitas Pendidikan Indonesia [Mapping The Landscape of Machin e Translation Error Research: A Bibliometric Review (1980-2023)]

    42-42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 ma chine translation. According to news reporting from the Universitas Pendidikan I ndonesia by NewsRx journalists, research stated, “Despite machine translation en hances communication process, it faces problems to guarantee accurate translatio n. Efforts to address these problems have been done by many researchers.”

    Researchers from Harbin Institute of Technology Report on Findings in Robotics ( Development, Integration, and Field Evaluation of an Autonomous Agaricus Bisporu s Picking Robot)

    43-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Robotics have been pr esented. According to news reporting out of Harbin, People’s Republic of China, by NewsRx editors, research stated, “The disorganized and densely growing Agaric us bisporus remains challenging for robotic harvesting. Aiming at the lower effi ciency, lower success rate, and higher breakage rate in the robotic harvesting p rocess, we propose a fully integrated, autonomous, and innovative harvesting rob ot to overcome the challenges due to the dense growth characteristics of Agaricu s bisporus.”

    Data on Machine Learning Discussed by Researchers at Russian Federation (Machine learning methods application to the perennial grasses yield forecast model buil ding under irrigation)

    44-44页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news originating from Volgograd, Russia, by NewsRx editors, the research stated, “Purpose: to test the hypothesis on possib ility of perennial grasses yield forecast model building using machine learning methods. For agricultural production planning, the yield forecasting is one of t he important tasks, and when using information technologies, building forecast m odels requires significantly less labor while maintaining or even increasing the accuracy and adequacy of the models.”

    Reports Outline Machine Learning Findings from Anhui University of Finance and E conomics [Optimizing Machine Learning Techniques and Shapley Additive Explanations (Shap) Analysis for the Compressive Property of Self-compa cting Concrete]

    45-45页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Machine Learning are discussed in a new report. According to news reporting out of Bengbu, People ’s Republic of China, by NewsRx editors, research stated, “This study examined t he effectiveness of employing machine learning (ML) techniques to estimate the c ompressive strength (CS) of self-compacting concrete (SCC). Multiple techniques were utilized, such as a decision tree (DT), a random forest regressor (RFR), an AdaBoost regressor (AR), and a gradient boosting regressor (GBR).”

    Findings from Lanzhou University in Robotics Reported (Deep Bilinear Koopman Mod el Predictive Control for Nonlinear Dynamical Systems)

    46-46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 originating from Lanzhou, People’s Re public of China, by NewsRx correspondents, research stated, “This article presen ts a deep bilinear Koopman model predictive control (DBKMPC) approach for modell ing and control of unknown nonlinear systems. The bilinear model, which has the computational speed of a linear model and the predictive accuracy of a nonlinear model, can accurately characterize a large class of airborne and ground-based r obotic systems.”

    Recent Findings from California Institute of Technology (Caltech) Provides New I nsights into Brain-Based Devices (Representation of Internal Speech By Single Ne urons In Human Supramarginal Gyrus)

    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 Br ain-Based Devices. According to news reporting originating in Pasadena, Californ ia, by NewsRx journalists, research stated, “Speech brain-machine interfaces (BM Is) translate brain signals into words or audio outputs, enabling communication for people having lost their speech abilities due to diseases or injury. While i mportant advances in vocalized, attempted and mimed speech decoding have been ac hieved, results for internal speech decoding are sparse and have yet to achieve high functionality.”