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

    Researchers at Institute of Applied Physics and Computational Mathematics Report New Data on Machine Learning (A Machinelearning Augmented Mixed Method for Sim ulating A Particle Transport In Inertial Confinement Fusion)

    10-11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 Machine Learning is now available. According to news reporting originating from Beijing, People’s Repub lic of China, by NewsRx correspondents, research stated, “The plasma heating by the a particle transport is a main self-heating source in inertial confinement f usion (ICF) that determines the capsule implosion performance. Due to the high e nergy of a particle and the high temperature in the ICF capsule hot spot, signif icant non-equilibrium effect exists and the continuum mechanics breaks down.”

    Study Findings from Polish Academy of Sciences Broaden Understanding of Machine Learning [Using Machine Learning To Count Antarctic Shag (Leu cocarbo Bransfieldensis) Nests On Images Captured By Remotely Piloted Aircraft S ystems]

    11-12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 Warsaw, Poland, by Ne wsRx journalists, research stated, “Using 51 orthomosaics of 11 breeding locatio ns of the Antarctic shag (Leucocarbo bransfieldensis), we propose a method for a utomating counting of shag nests. This is achieved by training an object detecti on model based on the ‘You Only Look Once’ (YOLO) architecture and identifying n ests on sections of the orthomosaic, which are later combined with predictions f or the entire orthomosaic.”

    Investigators at University of Poitiers Discuss Findings in Robotics (Instrument ed Bio-inspired Cable-driven Compliant Continuum Robot: Static Modeling and Expe rimental Evaluation)

    12-13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 Robotics is the subjec t of a report. According to news originating from Poitiers, France, by NewsRx co rrespondents, research stated, “Energy efficiency is inherent for autonomous rob otic device. Snakes are well known for their ability to low energy consumption w hen swimming.” Funders for this research include Agence Nationale Des Plantes Medicinales Et Ar omatiques, ANPMA, Morocco, French government.

    Researchers at Guangzhou University Have Reported New Data on Robotics (Electroa dhesion-driven Crawling Robots Based On Origami Mechanism)

    13-14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 reporting originating from Guangzhou, People’ s Republic of China, by NewsRx correspondents, research stated, “Soft crawling r obots can operate regularly in complicated situations and are more adapted to th eir surroundings. This study presents a novel electroadhesion(EA)-driven soft cr awling robot utilizing an origami mechanism design.”

    Wageningen University Researchers Provide Details of New Studies and Findings in the Area of Artificial Intelligence (Prediction of deoxynivalenol contamination in spring oats in Sweden using explainable artificial intelligence)

    13-13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 Wageningen University by NewsRx journalists, research stated, “Weather conditions and agronomical facto rs are known to affect Fusarium spp. growth and ultimately deoxynivalenol (DON) contamination in oat.”

    Duke University Medical Center Reports Findings in Lower Back Pain (Machine learning in the diagnosis, management, and care of patients with low back pain: a sc oping review of the literature and future directions)

    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 Musculoskeletal Diseas es and Conditions - Lower Back Pain is the subject of a report. According to new s originating from Durham, North Carolina, by NewsRx correspondents, research st ated, “Low back pain (LBP) remains the leading cause of disability globally. In recent years, machine learning (ML) has emerged as a potentially useful tool to aid the diagnosis, management, and prognostication of LBP.”

    Investigators from Princeton University Zero in on Machine Learning (Weak Baseli nes and Reporting Biases Lead To Overoptimism In Machine Learning for Fluid-rela ted Partial Differential Equations)

    15-16页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news originating from Princeton, New Jersey, by NewsRx correspondents, research stated, “One of the most promising applications of mach ine learning in computational physics is to accelerate the solution of partial d ifferential equations (PDEs). The key objective of machine-learning-based PDE so lvers is to output a sufficiently accurate solution faster than standard numeric al methods, which are used as a baseline comparison.”

    National Chin-Yi University of Technology Researcher Discusses Findings in Robotics (Rapid-Learning Collaborative Pushing and Grasping via Deep Reinforcement Le arning and Image Masking)

    16-17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 from Taichung, Taiwan, by New sRx journalists, research stated, “When multiple objects are positioned close to gether or stacked, pre-grasp operations such as pushing objects can be used to c reate space for the grasp, thereby improving the grasping success rate.”

    Data on Encephalitis Reported by Ruirui Dong and Colleagues (Interpretable machi ne learning model for predicting the prognosis of antibody positive autoimmune e ncephalitis patients)

    17-18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 Central Nervous System Diseases and Conditions - Encephalitis is the subject of a report. According to news reporting from Zhengzhou, People’s Republic of China, by NewsRx journalist s, research stated, “The objective was to utilize nine machine learning (ML) met hods to predict the prognosis of antibody positive autoimmune encephalitis (AE) patients. The encephalitis data from the Global Burden of Disease (GBD) study is analyzed to reflect the disease burden of encephalitis.”

    Researchers at Polytechnic University Torino Release New Data on Machine Learning (Optimizing Binary Decision Diagrams for Interpretable Machine Learning Classi fication)

    18-19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 reporting originating from Turin, Ital y, by NewsRx correspondents, research stated, “Machine learning (ML) is ever mor e frequently used as a tool to aid decision making. The need to understand the d ecisions made by ML algorithms has sparked a renewed interest in explainable ML models.” Financial support for this research came from PartenariatoEsteso-Research and In novation on Future Telecommunications Systems and Networks (RESTART).