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    Research from School of Management Provides New Study Findings on Machine Learni ng (Transition from machine intelligence to knowledge intelligence: A multi-agen t simulation approach to technology transfer)

    57-58页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingoriginating from Guangdong, P eople’s Republic of China, by NewsRx correspondents, research stated,“The tradi tional machine intelligence system lacks deep understanding and reasoning abilit y.”

    Data on Machine Learning Reported by Researchers at University of Genoa (Towards Algorithms and Models That We Can Trust: a Theoretical Perspective)

    58-59页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Machine Lea rning. According to news reporting out ofGenoa, Italy, by NewsRx editors, resea rch stated, “In the last decade it became increasingly apparent theinability of technical metrics such as accuracy, sustainability, and non -regressiveness to well characterizethe behavior of intelligent systems. In fact, they are nowaday s requested to meet also ethical requirementssuch as explainability, fairness, robustness, and privacy increasing our trust in their use in the wild.”

    New Artificial Intelligence Findings from Department of Neurosurgery Discussed ( Can Artificial Intelligence Mitigate Missed Diagnoses By Generating Differential Diagnoses for Neurosurgeons?)

    59-60页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ar tificial Intelligence. According to news originatingfrom Nutley, New Jersey, by NewsRx correspondents, research stated, “- BACKGROUND/Neurosurgeryemphasizes t he criticality of accurate differential diagnoses, with diagnostic delays posing significant healthand economic challenges. As large language models (LLMs) eme rge as transformative tools in healthcare,this study seeks to elucidate their r ole in assisting neurosurgeons with the differential diagnosis process,especial ly during preliminary consultations. - METHODS: This study employed 3 chat -base d LLMs,ChatGPT (versions 3.5 and 4.0), Perplexity AI, and Bard AI, to evaluate their diagnostic accuracy.”

    New Findings on Robotics from Shanxi University Summarized (A Method for Grasp D etection of Flexible Four-finger Gripper)

    60-61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 Robotics have been published. According to news reportingout of Shanxi, People’s Republic of China, by NewsRx editors, research stated, “The flexible four -fingergripper, as a specialized robotic end -effector, is highly valued for its ability to pass ively adapt to theshape of objects and perform non-destructive grasping. Howeve r, the development of grasping detectionalgorithms for flexible four -finger gr ippers remains relatively unexplored.”

    Researchers from Rajiv Gandhi Proudyogiki Vishwavidyalaya Provide Details of New Studies and Findings in the Area of Machine Learning (Design and Development of an Efficient Demographic-based Movie Recommender System Using Hybrid Machine .. .)

    61-62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 Machine Learning. According to news reporting fromMadhya Pradesh, India, by NewsRx jou rnalists, research stated, “Movie Recommender systems are frequentlyused in aca demics and industry to give users with relevant, engaging material based on thei rrating history. However, most traditional methods suffer from the cold -start problem, which is the initiallack of item ratings and data sparsity.”

    New Machine Learning Study Findings Have Been Reported by Researchersat Technic al University of Denmark (DTU) (Comparing Machine Learning-based Sea State Estim ates By the Wave Buoy Analogy)

    62-63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 Machine Learning. According to news reporting originat- ing from Lyngby, Denmark, by News Rx correspondents, research stated, “This paper presents a comparisonof three d ifferent machine learning frameworks applied in the wave buoy analogy used for e stimating thesea state from measured ship responses. The three frameworks outpu t and characterise the sea state indifferent ways: Model 1 outputs integral par ameters, Model 2 outputs a point wave spectrum and thewave direction, Model 3 o utputs the full directional wave spectrum.”

    New Artificial Intelligence Study Results Reported from University of Pisa (The transitional space. Generative artificial intelligence as an opportunity for gro wth)

    62-62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 artificial intelligence. According to news reportingout of the University of Pi sa by NewsRx editors, research stated, “This theoretical paper offers an interpretation of Generative Artificial Intelligence (GAI) as an opportunity for growth for individuals and inparticular for the professional development of teachers. ”

    Harbin Institute of Technology Reports Findings in Robotics (Multiresponse Liqui d Metal Bionic Flexible Actuator)

    63-64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 from Harbin, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Theflexible actuato r has attracted significant interest for its ability to respond flexibly to exte rnal stimuli,especially for renewable natural energy sources. However, the flex ible actuator faces issues such asinadequate sensitivity and inability to achie ve synergistic responses.”

    Henan University of Technology Reports Findings in Machine Learning (Prediction of HPC compressive strength based on machine learning)

    64-65页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Zhengzhou, People’s Re public of China, by NewsRx correspondents, research stated,“There is a complex high-dimensional nonlinear mapping relationship between the compressive strength ofHigh-Performance Concrete (HPC) and its components, which has great influenc e on the accurate predictionof compressive strength. In this paper, an efficien t robust software calculation strategy combiningBP Neural Network (BPNN), Suppo rt Vector Machine (SVM) and Genetic Algorithm (GA) is proposedfor the predictio n of compressive strength of HPC. 8 features were extracted from the previous li terature,and a compressive strength database containing 454 sets of data was co nstructed.”

    Researchers from Huazhong University of Science and Technology Detail Findings I n Robotics (Dynamic Motion of Quadrupedal Robots On Challenging Terrain: a Kinod ynamic Optimization Approach)

    65-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics have been pr esented. According to news originating fromWuhan, People’s Republic of China, b y NewsRx correspondents, research stated, “The dynamic motionof quadrupedal rob ots on challenging terrain generally requires elaborate spatial-temporal kinodyn amicmotion planning and accurate control at higher refresh rate in comparison w ith regular terrain. However,conventional quadrupedal robots usually generate r elatively coarse planning and employ motion replanningor reactive strategies to handle terrain irregularities.”