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

    Studies from University of Barcelona Further Understanding of Machine Learning (Machine Learning the Deuteron: New Architectures and Uncertainty Quantification)

    9-9页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news reporting out of Barcelona, Spain, by NewsRx editors, research stated, 'We solve the ground state of the deuteron using a va riational neural network ansatz for the wavefunction in momentum space. This ans atz provides a flexible representation of both the S and the D states, with rela tive errors in the energy which are within fractions of a per cent of a full dia gonalisation benchmark.'

    Data on Robotics and Automation Reported by Researchers at Zhejiang University (Learning Robust Skills for Tightly Coordinated Arms In Contact-rich Tasks)

    10-11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 Robotics-Robotics and Automation. According to news reporting from Hangzhou, People's Republic of China, by NewsRx journalists, research stated, 'Multi-arm coordinat ion has been receiving increasing attention in industry and our daily life. Howe ver, empowering arms to skillfully manipulate a common object within contact-ric h tasks remains a daunting challenge.'

    Universita degli Studi di Milano Researcher Describes Findings in Machine Learni ng (Node-degree aware edge sampling mitigates inflated classification performance in biomedical random walk-based graph representation learning)

    11-12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 intelligence have been presented. According to news reporting originating from Milano, Ita ly, by NewsRx correspondents, research stated, 'Graph representation learning is a family of related approaches that learn low-dimensional vector representation s of nodes and other graph elements called embeddings.'

    Studies in the Area of Machine Learning Reported from University of Toulouse (Re ducing Parametrization Errors for Polar Surface Turbulent Fluxes Using Machine Learning)

    12-13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 originating from Toulouse, France, by NewsRx correspondents, research stated, 'Turbulent exchanges between sea ice and the atmosphere are known to influence the melting rate of sea ice, the develop ment of atmospheric circulation anomalies and, potentially, teleconnections betw een polar and non-polar regions. Large model errors remain in the parametrizatio n of turbulent heat fluxes over sea ice in climate models, resulting in signific ant uncertainties in projections of future climate.'

    Reports from Zhejiang University Highlight Recent Findings in Machine Learning (Eco-friendly 3d Printed Concrete With Fine Aggregate Replacements: Fabrication, Characterization and Machine Learning Prediction)

    13-14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 in Zhejiang, People's Re public of China, by NewsRx journalists, research stated, 'During the last decade, 3D printing technology has experienced significant development, especially for concrete printing in construction. However, eco-friendly 3D printed concrete with fine aggregate replacements has not yet been sufficiently studied.'

    National Library of Medicine (NLM) Reports Findings in Machine Learning (Typed Markers and Context for Clinical Temporal Relation Extraction)

    14-15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 the subject of a report. According to news reporting from Bethesda, Maryland, by NewsRx journalists, research stated, 'Reliable extraction of temporal relations f rom clinical notes is a growing need in many clinical research domains. Our work introduces typed markers to the task of clinical temporal relation extraction.'

    Reports from Changchun University of Technology Add New Data to Findings in Robotics (Value Iteration-based Adaptive Fuzzy Backstepping Optimal Control of Modular Robot Manipulators Via Integral Reinforcement Learning)

    15-16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 Robotics are disc ussed in a new report. According to news reporting out of Changchun, People's Re public of China, by NewsRx editors, research stated, 'An adaptive fuzzy backstep ping optimal control method is developed for modular robot manipulators (MRMs) via value iteration (VI). This paper adopts joint torque feedback (JTF) technique to construct subsystem dynamics model, and the state space description is deduc ed.'

    Research Results from University of Science and Technology Update Knowledge of Machine Learning (Improved Feature Selection and Stream Traffic Classification Ba sed on Machine Learning in Software-Defined Networks)

    16-17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 out of Khartoum, Suda n, by NewsRx editors, research stated, 'Traffic classification (TC) in software- defined networks (SDN) using machine learning (ML) appears to be a viable option for improving network management. TC improves SDN operability, while SDN speeds up the feature selection (FS) process, especially when ML is used as a classifi cation mechanism to extract measurements and related information from incoming data to the SDN controller.'

    New Machine Learning Study Results from Sichuan University Described (Estimating the water quality index based on interpretable machine learning models)

    17-17页
    查看更多>>摘要: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 from Chengdu, People's Repu blic of China, by NewsRx journalists, research stated, 'The water quality index (WQI) is an important tool for evaluating the water quality status of lakes.' Funders for this research include Science & Technology Fundamental Resources Investigation Program; National Natural Science Foundation of China.

    Study Findings from National Institute of Technology Advance Knowledge in Mechan ical Engineering (Experimental analysis of forming forces in incremental forming and its prediction by AI-based methods)

    18-18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 mechanical engineering is now available. According to news originating from Haryana, India, by NewsRx c orrespondents, research stated, 'Single point incremental forming (SPIF) is an e merging approach to manufacture the user-specific parts of greater strength econ omically without involving dedicated tools and dies.'