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    New Machine Learning Study Findings Have Been Reported by Researchers at Prince Sattam bin Abdulaziz University (Machine learning algorithms applied for drone d etection and classification: benefits and challenges)

    58-59页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting out of Al Kharj, Saudi Arabia, by News Rx editors, research stated, “In recent years, the increasing use of drones for both commercial and recreational purposes has led to heightened concerns regardi ng airspace safety.” Funders for this research include Prince Sattam Bin Abdulaziz University.

    Guizhou University Reports Findings in Machine Learning (Machine learning discri mination and prediction of different quality grades of sauce-flavor baijiu based on biomarker and key flavor compounds screening)

    59-60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 Machine Learning is th e subject of a report. According to news reporting out of Guizhou, People’s Repu blic of China, by NewsRx editors, research stated, “The quality grade of base di rectly determines the final quality of sauce-flavor. However, traditional method s for assessing these grades often rely on subjective experience, lacking object ivity and accuracy.”

    Salamanca University Hospital Reports Findings in Segmentectomy (Early outcomes of robotic versus video-thoracoscopic anatomical segmentectomy: a propensity sco re-matched real-world study)

    60-61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 Surgery - Segmentectom y is the subject of a report. According to news reporting originating from Salam anca, Spain, by NewsRx correspondents, research stated, “Minimally invasive anat omic segmentectomy for the resection of pulmonary nodules has significantly incr eased in the last years. Nevertheless, there is limited evidence on the safety a nd feasibility of robotic segmentectomy compared to video-assisted thoracic surg ery.”

    Data on Machine Learning Discussed by Researchers at University of Science and T echnology Beijing (Multimodal Virtual Semantic Communication for Tiny-machine-le arning-based Uav Task Execution)

    61-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news originating from Beijing, People’s Rep ublic of China, by NewsRx correspondents, research stated, “In the 6G integrated air-ground network, the process of accomplishing complex tasks through the inte grated multimodal communication faces challenges induced by unmanned aerial vehi cles (UAVs), such as limited communication, storage and computing capabilities, and the existence of heterogeneous UAV multimodal information and carriers. Insp ired by the process of semantic communication, we view successful execution of a dvanced UAV tasks as semantic recognition and pragmatic execution.”

    Reports on Robotics Findings from Zhejiang University Provide New Insights (A Di gital Twin of Intelligent Robotic Grasping Based On Single-loop-optimized Differ entiable Architecture Search and Simreal Collaborative Learning)

    62-63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 Robotic s. According to news originating from Hangzhou, People’s Republic of China, by N ewsRx correspondents, research stated, “The effectiveness of deep learning model s for vision-based intelligent robotic grasping (IRG) tasks typically hinges upo n the deep neural network (DNN) architecture as well as the task-oriented annota ted training samples. Nevertheless, current methods applied for designing DNN ar chitectures depend on human expertise or discrete search by evolution and reinfo rcement learning algorithms, which leads to enormous computational cost.”

    Study Data from Laval University Update Understanding of Machine Learning (A Com prehensive Review of Ai-based Methods Used for Forecasting Ice Jam Floods Occurr ence, Severity, Timing, and Location)

    63-64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 Learning. According to news reporting from Quebec City, Canada, by NewsRx journalists, research stated, “River ice breakup can affect most rivers in cold climate during winter, posing a serious threat of Ice-Jam Floods (IJFs) to river ine communities. IJFs are challenging to predict due to their chaotic nature tha t arises from the complex interaction between hydroclimatic factors and river mo rphology.”

    Investigators from Sao Paulo State University (UNESP) Zero in on Machine Learnin g (Machine Learning In Viscoelastic Fluids Via Energy-based Kernel Embedding)

    64-65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 Machine Learning have been presented. According to news reporting originating from Presidente Prudent e, Brazil, by NewsRx correspondents, research stated, “The ability to measure di fferences in collected data is of fundamental importance for quantitative scienc e and machine learning, motivating the establishment of metrics grounded in phys ical principles. In this study, we focus on the development of such metrics for viscoelastic fluid flows governed by a large class of linear and nonlinear stres s models.”

    Reports from Chongqing University Highlight Recent Findings in Machine Learning (Using Cfd and Machine Learning To Explore Chaotic Mixing In Laminar Diameter-tr ansformed Stirred Tanks)

    65-66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 originating in Chongqing, P eople’s Republic of China, by NewsRx journalists, research stated, “Elimination of segregated zones is important to intensify the global chaotic mixing of high- viscosity fluids. Diameter-transformed stirred tank (DTST) reactor as a new proc ess-intensification equipment is proposed.” Funders for this research include National Key Research & Developm ent Program of China, Graduate Research and Innovation Foundation of Chongqing, Fundamental Research Funds for the Central Universities.

    Data from Financial University under the Government of the Russian Federation Up date Knowledge in Artificial Intelligence (Artificial Intelligence: the dichotom y of technology development)

    66-66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 reporting originating from Financial U niversity under the Government of the Russian Federation by NewsRx correspondent s, research stated, “Purpose: identification of opportunities and potential risk s in the implementation of artificial intelligence technologies on the basis of the dominant trends analyzing in the current high-tech sector development of the global economy.”

    Researchers from University of Sao Paulo Detail Findings in Machine Learning (Op timized Continuous Dynamical Decoupling Via Differential Geometry and Machine Le arning)

    67-67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 originating from Sao Carlos , Brazil, by NewsRx correspondents, research stated, “We introduce a strategy to develop optimally designed fields for continuous dynamical decoupling. Using ou r methodology, we obtain the optimal continuous field configuration to maximize the fidelity of a general one-qubit quantum gate.”