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    New Robotics Study Results Reported from China University of Petroleum East China (Omega motion, rolling, and active standing of a worm-inspired robot under the action of the magnetic field)

    49-49页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on robotics is now available. According to news reporting originating from Qingdao, People’s Republic of China, by NewsRx correspondents, research stated, “With the rapid development of origami technologies, worm-inspired robots have attracted a great deal of attention due to their flexible locomotion characteristics.” Financial supporters for this research include The National Natural Science Foundation; The National Science Foundation of Shandong Province; Special Funds For The Basic Scientific Research Expenses of Central Government Universities.

    Shandong University of Science and Technology Reports Findings in Machine Learning (Improving the Resolution of Flexible Large-Area Tactile Sensors through Machine-Learning Perception)

    50-51页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting out of Qingdao, People’s Republic of China, by NewsRx editors, research stated, “Industrial robots are the main piece of equipment of intelligent manufacturing, and array-type tactile sensors are considered to be the core devices for their active sensing and understanding of the production environment. A great challenge for existing array-type tactile sensors is the wiring of sensing units in a limited area, the contradiction between a small number of sensing units and high resolution, and the deviation of the overall output pattern due to the difference in the performance of each sensing unit itself.”

    University of Technology Sydney Researcher Provides New Insights into Robotics (A Review of Mechanisms to Vary the Stiffness of Laminar Jamming Structures and Their Applications in Robotics)

    50-50页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on robotics. According to news reporting originating from Sydney, Australia, by NewsRx correspondents, research stated, “Laminar jamming (LJ) is a method to achieve variable stiffness in robotics that has attracted notable attention because of its simple working principle and potential high stiffness variation.” Funders for this research include Australian Government Research Training Program Scholarship.. Our news correspondents obtained a quote from the research from University of Technology Sydney: “This article reviews the lock/unlock mechanisms of LJ structures. The application of these mechanisms in robotics is discussed, including grippers, continuum robots, wearable robots, robot arms, and more. Furthermore, the performance and limitations of the mechanisms to vary the stiffness of LJ are qualitatively and quantitatively analyzed. This performance analysis focuses mainly on the potential of LJ mechanisms to be applied in robot arms with variable stiffness and their potential to attenuate the impact between human beings and robot arms. The modeling of LJ through analytical and finite element methods is described, and their evolution towards design methodologies is discussed.”

    New Machine Learning Study Findings Reported from Technical University Munich (TU Munich) (Differentially Private Guarantees for Analytics and Machine Learning on Graphs: A Survey of Results)

    51-52页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligence is the subject of a new report. According to news reporting originating from Technical University Munich (TU Munich) by NewsRx correspondents, research stated, “We study the applications of differential privacy (DP) in the context of graph-structured data and discuss the formulations of DP applicable to the publication of graphs and their associated statistics as well as machine learning on graph-based data, including graph neural networks (GNNs).”

    Study Results from Rehabilitation Center Update Understanding of Artificial Intelligence (Transforming medicine: artificial intelligence integration in the peripheral nervous system)

    52-53页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligence is the subject of a new report. According to news reporting originating from Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “In recent years, artificial intelligence (AI) has undergone remarkable advancements, exerting a significant influence across a multitude of fields.” The news reporters obtained a quote from the research from Rehabilitation Center: “One area that has particularly garnered attention and witnessed substantial progress is its integration into the realm of the nervous system. This article provides a comprehensive examination of AI’s applications within the peripheral nervous system, with a specific focus on AI-enhanced diagnostics for peripheral nervous system disorders, AI-driven pain management, advancements in neuroprosthetics, and the development of neural network models.”

    Study Findings from Southwest University of Science and Technol- ogy Provide New Insights into Machine Learning [A Modification of Adaptive Moment Estimation (Adam) for Machine Learning]

    53-53页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learning have been published. According to news reporting originating in Mianyang, People’s Republic of China, by NewsRx journalists, research stated, “In deep learning, the accuracy and generalization ability of the model largely depend on the optimization of the loss function. Up to now, dozens of optimization methods have been used in the deep learning models.” Financial support for this research came from National Natural Science Foundation of China (NSFC).

    Fudan University Obstetrics and Gynecology Hospital Reports Find- ings in Endometrial Cancer (Machine learning combined with single- cell analysis reveals predictive capacity and immunotherapy response of T cell exhaustion-associated lncRNAs in ...)

    54-55页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Endometrial Cancer is the subject of a report. According to news reporting out of Shanghai, People’s Republic of China, by NewsRx editors, research stated, “The exhaustion of T-cells is a primary factor contributing to immune dysfunction in cancer. Long non-coding RNAs (lncRNAs) play a significant role in the advancement, survival, and treatment of Uterine Corpus Endometrial Carcinoma (UCEC).”

    New Machine Learning Research Has Been Reported by Researchers at Federal University of Pernambuco (Symbolic Dynamical Filtering via Variable Length Markov Model and Machine Learning)

    54-54页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – 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 originating from Recife, Brazil, by NewsRx correspondents, research stated, “Time series are the natural way for accessing information about dynamical systems or processes in a variety of scientific, engineering and financial applications.” Funders for this research include Brazilian National Council For Scientific And Technological Develop- ment; Foundation For Support of Science And Technology of The State of Pernambuco; Coordination For The Improvement of Higher Education Personnel (Capes)-finance Code 001, Brazil.

    Amsterdam University Medical Center Reports Findings in Artifi- cial Intelligence (Artificial intelligence for assessment of vascular involvement and tumor resectability on CT in patients with pancre- atic cancer)

    56-56页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligence is the subject of a report. According to news originating from Amsterdam, Netherlands, by NewsRx correspondents, research stated, “This study aimed to develop and evaluate an automatic model using artificial intelligence (AI) for quantifying vascular in- volvement and classifying tumor resectability stage in patients with pancreatic ductal adenocarcinoma (PDAC), primarily to support radiologists in referral centers. Resectability of PDAC is determined by the degree of vascular involvement on computed tomography scans (CTs), which is associated with considerable inter-observer variability.”

    University of British Columbia Details Findings in Robotics (Dex- terous Manipulation of Construction Tools Using Anthropomorphic Robotic Hand)

    57-57页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been presented. According to news originating from Vancouver, Canada, by NewsRx correspondents, research stated, “Emerging studies are utilizing reinforce- ment learning (RL) and imitation learning (IL) to control large-scale robots in heavy construction tasks. There is limited attention given to the automation of delicate tasks typically performed manually.” Financial support for this research came from Government of Canada’s New Frontiers in Research Fund (NFRF).