首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    New Artificial Intelligence Study Findings Have Been Reported by Researchers at Anhui University of Science and Technology (The Impact of Medical Explainable Ar tificial Intelligence On Nurses' Innovation Behaviour: a Structural Equation ... )

    107-108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 Artificial Intelligence are presented in a new report. According to news reporting originating from Huai nan, People's Republic of China, by NewsRx correspondents, research stated, "Thi s study aims to investigate the influence of medical explainable artificial inte lligence (XAI) on the innovation behaviour of nurses, as well as explore the dua l-pathway mediating effect of AI selfefficacy and AI anxiety and organizational ethical climate as the moderating effect. To address the practical application of medical AI technology, alleviate the scarcity of medical resources and fulfil the medical and health demands of the public, it is crucial to improve the inno vation behaviour of nurses through the use of medical XAI." Funders for this research include Social Science Research Project of Anhui Educa tional Committee, Humanity and Social Science Research Project of Anhui Educatio nal Committee, Ministry of Education, China, Anhui Province University Excellent Top Talent Training Project, Major bidding teaching research project of Anhui U niversity of Science and Technology.

    Findings from University of Michigan in Robotics Reported (Selfpropelled Morphi ng Matter for Small-scale Swimming Soft Robots)

    108-109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 Robotics have been published. According to news originating from Ann Arbor, Michigan, by News Rx correspondents, research stated, "Aquatic insects have developed versatile lo comotion mechanisms that have served as a source of inspiration for decades in t he development of small-scale swimming robots. However, despite recent advances in the field, efficient, untethered, and integrated powering, actuation, and con trol of small-scale robots remains a challenge due to the out-ofequilibrium and dissipative nature of the driving physical and chemical phenomena." Financial supporters for this research include National Science Foundation (NSF) , National Science Foundation-Materials Research Science and Engineering Center at the University of Michigan, Natural Sciences and Engineering Research Counc il of Canada (NSERC), University of Michigan College of Engineering.

    Southern University of Science and Technology (SUSTech) Researcher Releases New Data on Machine Learning (Experimental Study and Random Forest Machine Learning of Surface Roughness for a Typical Laser Powder Bed Fusion Al Alloy)

    109-110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 reporting out of Shenzhen, P eople's Republic of China, by NewsRx editors, research stated, "Surface quality represents a critical challenge in additive manufacturing (AM), with surface rou ghness serving as a key parameter that influences this aspect." Financial supporters for this research include Guangdong Basic Applied Basic Res earch Foundation, China; Key Research And Development Program of Jiangsu Provinc e; National Natural Science Foundation of China; Shenzhen Science And Technology Innovation Commission; Sustech Crf.

    Capital Medical University Reports Findings in Endometrial Cancer (MRI-based rad iomics model for predicting endometrial cancer with high tumor mutation burden)

    110-110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 Oncology - Endometrial Cancer is the subject of a report. According to news reporting from Beijing, Pe ople's Republic of China, by NewsRx journalists, research stated, "To evaluate t he performance of MRI-based radiomics in predicting endometrial cancer (EC) with a high tumor mutation burden (TMB-H). A total of 122 patients with pathological ly confirmed EC (40 TMB-H, 82 non-TMB-H) were included in this retrospective stu dy." The news correspondents obtained a quote from the research from Capital Medical University, "Patients were randomly divided into training and testing cohorts in a ratio of 7:3. Radiomics features were extracted from sagittal T2-weighted ima ges and contrast-enhanced T1-weighted images. Then, the logistic regression (LR) , random forest (RF), and support vector machine (SVM) algorithms were used to c onstruct radiomics models. The area under the receiver operating characteristic curve (AUC) was calculated to evaluate the diagnostic performance of each model, and decision curve analysis was used to determine their clinical application va lue. Four radiomics features were selected to build the radiomics models. The th ree models had similar performance, achieving 0.771 (LR), 0.892 (RF), and 0.738 (SVM) in the training cohort, and 0.787 (LR), 0.798 (RF), and 0.777 (SVM) in the testing cohort. The decision curve demonstrated the good clinical application v alue of the LR model."

    Korea University College of Medicine Researchers Update Knowledge of Artificial Intelligence (Explainable artificial intelligence on safe balance and its major determinants in stroke patients)

    111-111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 out of Korea University Colle ge of Medicine by NewsRx editors, research stated, "This study develops explaina ble artificial intelligence for predicting safe balance using hospital data, inc luding clinical, neurophysiological, and diffusion tensor imaging properties. Re trospective data from 92 first-time stroke patients from January 2016 to June 20 23 was analysed." Financial supporters for this research include Ministry of Health & Welfare of South Korea; Korea Government.

    Reports Summarize Machine Learning Study Results from Cardiff University (Machin e learning-based personalized composite score dissects risk and protective facto rs for cognitive and motor function in older participants)

    112-113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 artificial in telligence have been published. According to news reporting out of Cardiff, Unit ed Kingdom, by NewsRx editors, research stated, "IntroductionWith age, sensory, cognitive, and motor abilities decline, and the risk for neurodegenerative disor ders increases.These impairments influence the quality of life and increase the need for care, thus putting a high burden on society, the economy, and the heal thcare system."

    Study Data from Capital Medical University Provide New Insights into Artificial Intelligence (The Impact of Generative Artificial Intelligence on the Developmen t, Evaluation, and Application of Clinical Practice Guidelines)

    112-112页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on artificial intelligence is now available. According to news originating from Beijing, People's Republic of China, by NewsRx correspondents, research stated, "Generative artificial int elligence (GAI) refers to AI technology capable of generating new content such a s text, images, or audio from training data." The news editors obtained a quote from the research from Capital Medical Univers ity: "GAI tools not only demonstrate rapid and efficient potential in literature screening, data extraction, and literature appraisal in systematic reviews, but can also be used for guideline evaluation and dissemination, enhancing the read ability and promotion efficiency of guidelines. However, the accuracy of content generated by GAI tools, the rationality of cited evidence, the level of evidenc e, and the reliability of data still need verification. Additionally, data priva cy protection and ethical issues are challenges that need to be addressed."

    Researchers from University of Kasdi Merbah Ouargla Describe Findings in Machine Learning (Advancing Micromechanical Property Characterization In Ceramic Multil ayer Coatings Via Hierarchical Machine Learning)

    113-114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 Machine Learning. According to news reporting originating in Ouargla, Algeria, by NewsR x journalists, research stated, "This study focuses on a numerical data-driven m achine learning (ML) approach applied to predict critical parameters, including hardness, Von Mises stress, and equivalent plastic strain in various ceramic mul tilayer coatings on a Ti alloy substrate, such as Ti/TiN, Ti/TiVN, Ti/TiZrN, Cr/ CrN, Cr/CrAlN, and Ta/Ti-Zr-Ta, through the nanoindentation process. The regress ion analysis demonstrated the model's effectiveness in predicting these paramete rs, with heightened accuracy in hardness and stress compared to plastic strain." Financial supporters for this research include Institutional Fund Projects, Mini stry of Education and King Abdulaziz University, Deanship of Scientific Research (DSR), Jeddah, Saudi Arabia.

    Researchers at Northeastern University Have Reported New Data on Machine Learnin g (Predicting Equity Premium: a New Momentum Indicator Selection Strategy With M achine Learning)

    114-115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 originating in Shenya ng, People's Republic of China, by NewsRx journalists, research stated, "We prop ose a new momentum-determined indicator-switching (N-MDIS) strategy, harnessing the power of machine learning to enhance the accuracy of equity premium predicti on. Specifically, we re-examine the regime-dependent feature of univariate predi ctive regression relative to the benchmark." Financial supporters for this research include National Office of Philosophy and Social Sciences, Ministry of Education, China - 111 Project, Artificial Intelli gence Innovation and Development Program Project for Liaoning Province, Fundamen tal Research Funds for the Central Universities.

    New Machine Learning Study Findings Have Been Reported by Investigators at Wuhan University (Spatial Mapping and Driving Factor Identification for Salt-affected Soils At Continental Scale Using Machine Learning Methods)

    115-116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 originating from Hubei, People's Republ ic of China, by NewsRx correspondents, research stated, "Soil salinization is on e of the most serious land-degrading threats globally, particularly in Asia, whe re there are 21 countries, e.g., Kazakhstan, China, Iran, and Indonesia, lack of accurate spatial information of saltaffected soils currently. Mapping the dist ribution of salt-affected soils and identifying their main driving factors is cr itical for sustainable development." Funders for this research include National Key Research & Developm ent Program of China, The program of the Food and Agriculture Organization of th e United Nations.