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    Study Data from Integral University Update Understanding of Machine Learning (In terpretable Ai and Machine Learning Classification for Identifying High-efficien cy Donor-acceptor Pairs In Organic Solar Cells)

    49-49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 Learn ing have been published. According to newsoriginating from Lucknow, India, by N ewsRx correspondents, research stated, “To enhance the efficiencyof organic sol ar cells, accurately predicting the efficiency of new pairs of donor and accepto r materialsis crucial. Presently, most machine learning studies rely on regress ion models, which often struggle toestablish clear rules for distinguishing bet ween high- and low-performing donor-acceptor pairs.”

    Findings on Robotics Detailed by Investigators at University of Patras (An Llm-b ased Approach for Enabling Seamless Human-robot Collaboration In Assembly)

    50-50页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics are presented i n a new report. According to news reportingout of Patras, Greece, by NewsRx edi tors, research stated, “The complexity in the collaboration betweenhumans and r obots in smart manufacturing remains a significant challenge. This paper introdu ces anLLM-based manufacturing execution system enhancing Human- Robot Collabora tion (HRC) in smartmanufacturing.”

    University of Western Ontario Researchers Describe Research in Machine Learning (On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case)

    50-51页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. Accordingto news originating from London, Canada, by NewsRx correspondents, research stated, “As technology advances, the use of Machine Learning (ML) in cybersecurity is becoming increasingly crucial to tackle thegrowing complexity of cyber threats.”

    University of Bologna Reports Findings in Artificial Intelligence (Combining art ificial intelligence and conventional statistics to predictbronchopulmonary dys plasia in very preterm infants using routinely collected clinical variables)

    51-52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 tonews reporting out of Bologna, Italy, by NewsRx editors, research stated, “Prematurity is the strongestpredictor of bronchopulmonary dysplasia (BPD). Most previous studies investigated additional risk factorsby conventional statistics, while the few studies applying artifici al intelligence, and specifically machinelearning (ML), for this purpose were m ainly targeted to the predictive ability of specific interventions.”

    Studies from China University of Mining and Technology in the Area of Machine Le arning Reported (Rapid Discovery of Gas Response In Materials Via Density Functi onal Theory and Machine Learning)

    52-53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 originatingfrom Xuzhou, People’s Republi c of China, by NewsRx correspondents, research stated, “In thisstudy, a framewo rk for predicting the gas-sensitive properties of gas-sensitive materials by com biningmachine learning and density functional theory (DFT) has been proposed. T he framework rapidly predictsthe gas response of materials by establishing rela tionships between multisource physical parameters andgas-sensitive properties.”

    New Findings from Chinese Academy of Agricultural Sciences in the Area of Machin e Learning Described (Remote Estimation of Rapeseed Phenotypic Traits Under Diff erent Crop Conditions Based On Unmanned Aerial Vehicle Multispectral Images)

    53-54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 Learn ing have been published. According tonews reporting originating from Wuhan, Peo ple’s Republic of China, by NewsRx correspondents, researchstated, “Rapeseed is an essential oil crop and the third major source of edible oil in the world. Ac curateestimation of rapeseed phenotypic traits at field scale is important for precision agriculture to improveagronomic management and ensure edible oil supp ly.”

    China Pharmaceutical University Reports Findings in Bioinformatics (Identificati on and analysis of significant genes in nonalcoholic steatohepatitis-hepatocellu lar carcinoma transformation: Bioinformatics analysis and machine learning appro ach)

    54-55页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Biotechnology - Bioinf ormatics is the subject of a report. Accordingto news reporting from Nanjing, P eople’s Republic of China, by NewsRx journalists, research stated,“Nonalcoholic steatohepatitis (NASH) has been an increasingly significant contributor to hepa tocellularcarcinoma (HCC). Understanding the progression from NASH to HCC is cr itical to early diagnosis andelucidating the underlying mechanisms.”

    Findings from University of Southern California (USC) Update Knowledge of Machin e Learning (Inference Latency Prediction for Cnns On Heterogeneous Mobile Device s and Ml Frameworks)

    55-56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. According to newsreporting out of Los Angeles, C alifornia, by NewsRx editors, research stated, “Due to the proliferationof infe rence tasks on mobile devices, state-of-the-art neural architectures are typical ly designed usingNeural Architecture Search (NAS) to achieve good tradeoffs bet ween machine learning accuracy andinference latency. While measuring inference latency of a huge set of candidate architectures during NASis not feasible, lat ency prediction for mobile devices is challenging, because of hardware heterogen eity,optimizations applied by machine learning frameworks, and diversity of neu ral architectures.”

    Studies from Zhejiang University Provide New Data on Robotics (Trajectory Genera tion and Tracking Control for Flapping Wing Robot Three-dimensional Flight)

    56-57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 reporting out of Hangzhou,People’s Republic of China, by N ewsRx editors, research stated, “This article presents both the trajectorygener ation and tracking control strategies for an underactuated flapping wing aerial vehicle (FWAV). First,the FWAV dynamics is analyzed in a practical perspective. ”

    Researchers from Jiangxi Normal University Report New Studies and Findings in th e Area of Computational Intelligence (Evolutionary Multi-task Optimization With Adaptive Intensity of Knowledge Transfer)

    57-58页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning - Com putational Intelligence is the subject of areport. According to news reporting out of Nanchang, People’s Republic of China, by NewsRx editors,research stated, “Evolutionary multi-task optimization (EMTO) aims to solve multiple optimizatio n taskssimultaneously via cross-task knowledge transfer, which has attracted co nsiderable attention in the communityof evolutionary computation. For EMTO, the intensity of knowledge transfer is one of the mostcrucial factors for the algo rithm performance, which has a close relationship with the relatedness betweent asks.”