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

    Reports from Department of Civil Engineering Advance Knowledge in Machine Learni ng (Assessment of Arresting Performance of Integral Buckle Arrestors for Sandwic h Pipes Using Machine Learning Techniques)

    77-78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 out of Hangzhou, People’s R epublic of China, by NewsRx editors, research stated, “Integral buckle arrestors are regarded as the most effective arresting devices and can be perfectly adapt ed to innovative sandwich pipes. In the present study, hyperbaric chamber tests were performed on reduced-scale sandwich pipe specimens equipped with integral a rrestors, and the effect of interface bonding behaviour on the crossover pressur e was examined.”

    Reports from University of Michigan Advance Knowledge in Machine Learning (Condi tion Monitoring in Additive Manufacturing: A Critical Review of Different Approaches)

    78-79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 Flint, Michigan, by Ne wsRx editors, research stated, “This critical review provides a comprehensive an alysis of various condition monitoring techniques pivotal in additive manufactur ing (AM) processes.” Funders for this research include Rca Fund; Undergraduate Research Opportunity P rogram (Urop) Fund; Office of Research University of Michigan.

    Researchers’ Work from Northeast Normal University Focuses on Artificial Intelli gence (Humidity-mediated Synaptic Plasticity In Ag Loaded Porous Siox Based Memr istor for Multimodal Neuromorphic Sensory System)

    79-80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 from Changchun, People’s Rep ublic of China, by NewsRx journalists, research stated, “Neuromorphic sensory sy stem plays a critical role for human being to perceive, interact and even deduce with the external environment. Multimodal plasticity implementation of neuromor phic sensory system that can learn with diversified information empowers the dev elopment of environment-interactive artificial intelligence.”

    Findings on Machine Learning Reported by Investigators at Chulalongkorn Universi ty [Thermodynamic Stability Prediction of Triple Transition-m etal (Ti-mo-v)3c2 mxenes Via Cluster Correlationbased Machine Learning]

    80-81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 originating from Bangkok, Thailand, by NewsRx correspondents, research stated, “The representation of atomic configu rations through cluster correlations, along with the cluster expansion approach, has long been used to predict formation energies and determine the thermodynami c stability of alloys. In this work, a comparison is conducted between the tradi tional cluster expansion method based on density functional theory and other pot ential machine learning models, including decision tree-based ensembles and mult i-layer perceptron regression, to explore the alloying behavior of different ele ments in multi-component alloys.”

    Studies from University of Twente Yield New Information about Machine Learning ( Machine Learning-based Characterisation of Urban Morphology With the Street Pattern)

    81-82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 out of Enschede, Neth erlands, by NewsRx editors, research stated, “Streets are a crucial part of the built environment, and their layouts, the street patterns, are widely researched and contribute to a quantitative understanding of urban morphology. However, tr aditional street pattern analysis only considers a few broadly defined character istics.”

    Studies from Universidad de Huelva Have Provided New Data on Artificial Intellig ence (Enhancing Security in Industrial Application Development: Case Study on Se lf-Generating Artificial Intelligence Tools)

    82-83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 artific ial intelligence. According to news originating from Huelva, Spain, by NewsRx ed itors, the research stated, “The emergence of security vulnerabilities and risks in software development assisted by self-generated tools, particularly with reg ard to the generation of code that lacks due consideration of security measures, could have significant consequences for industry and its organizations.”

    Shaanxi Provincial Cancer Hospital Reports Findings in Artificial Intelligence ( Artificial intelligence-based classification of breast nodules: a quantitative m orphological analysis of ultrasound images)

    83-84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 report. According to news reporting originating from Xi’an , People’s Republic of China, by NewsRx correspondents, research stated, “Accura te classification of breast nodules into benign and malignant types is critical for the successful treatment of breast cancer. Traditional methods rely on subje ctive interpretation, which can potentially lead to diagnostic errors.”

    Hangzhou First People’s Hospital Reports Findings in Trigeminal Neuralgia (Analy zing the risk factors of unilateral trigeminal neuralgia under neurovascular com pression)

    84-85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 Chronic Pain Diseases and Conditions - Trigeminal Neuralgia is the subject of a report. According to n ews reporting from Hangzhou, People’s Republic of China, by NewsRx journalists, research stated, “This study aimed to explore the risk factors and potential cau ses of unilateral classical or idiopathic trigeminal neuralgia (C-ITN) by compar ing patients and healthy controls (HCs) with neurovascular compression (NVC) usi ng machine learning (ML). A total of 84 C-ITN patients and 78 ageand sex-match ed HCs were enrolled.”

    New Research on Machine Learning from Texas A&M University System S ummarized (Comprehensive Validation on Reweighting Samples for Bias Mitigation v ia AIF360)

    85-86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 artific ial intelligence. According to news reporting originating from Prairie View, Tex as, by NewsRx correspondents, research stated, “Fairness Artificial Intelligence (AI) aims to identify and mitigate bias throughout the AI development process, spanning data collection, modeling, assessment, and deployment-a critical facet of establishing trustworthy AI systems.”

    New Robotics Findings from Harbin Institute of Technology Described (Design and Validation of a Nonparasitic 2r1t Parallel Handheld Prostate Biopsy Robot With Remote Center of Motion)

    86-86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 Robotics is now availab le. According to news reporting originating in Harbin, People’s Republic of Chin a, by NewsRx journalists, research stated, “An increasing number of grounded rob ots are being used in prostate interventions to improve clinical outcomes, but t heir large size and high-cost limit their popularity. Thus, we present a hand-he ld 3-degree-of-freedom (DoF) parallel robot with remote center of motion (RCM) f or minimally invasive prostate biopsy applications, combining the flexibility of hand-held devices with the precision of robotic assistance.”