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    Researchers from University of California San Diego (UCSD) Provide Details of Ne w Studies and Findings in the Area of Machine Learning (Robust training of machi ne learning interatomic potentials with dimensionality reduction and stratified ...)

    9-10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 originating from the University of California San Diego (UCSD) by NewsRx correspondents, research st ated, “Machine learning interatomic potentials (MLIPs) enable accurate simulatio ns of materials at scales beyond that accessible by ab initio methods and play a n increasingly important role in the study and design of materials.” Funders for this research include Shell Global | Shell Exploration And Productio n Company; Doe | Ldrd | Lawrence Livermore National Laboratory.

    New Artificial Intelligence Study Results Reported from Zhejiang Shuren Universi ty (Artistic Characteristics and Innovative Application of Ink Animation in Anim ation Scenes in the Age of Artificial Intelligence)

    10-11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 originating from Zhejiang, People’s Republic of China, by NewsRx correspondents, research stated, “This pap er discusses the artistic characteristics and innovative applications of ink ani mation in the era of artificial intelligence, mainly including the preprocessing of ink works, the Extraction of stylistic feature analysis, the internal haloin g technique, and the simulation technique of ink painting features.”

    Study Results from B.S. Abdur Rahman Crescent Institute of Science & Technology Broaden Understanding of Machine Learning (Evaluation of machine lear ning techniques for the Nd: YAG Laser & TIG welded stainless steel 304)

    11-12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 originating from Tamil Nadu, I ndia, by NewsRx editors, the research stated, “Nd: YAG Laser and Tungsten Inert Gas (TIG) welding processes are the most promising joining techniques used for s tainless steel (SS) alloys due to their significant weld characteristics.”

    New Machine Learning Research from Spanish National Research Council (CSIC) Outl ined (A machine learning toolbox for the analysis of sharp-wave ripples reveals common waveform features across species)

    12-12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 ar tificial intelligence. According to news reporting out of the Spanish National R esearch Council (CSIC) by NewsRx editors, research stated, “The study of sharp-w ave ripples has advanced our understanding of memory function, and their alterat ion in neurological conditions such as epilepsy is considered a biomarker of dys function.” Financial supporters for this research include “la Caixa” Foundation; Fundacion General Csic; Ministerio De Educacion, Cultura Y Deporte; U.S. Department of Hea lth & Human Services | Nih | National Institute of Neurological Di sorders And Stroke.

    Reports Outline Machine Learning Study Results from Fudan University (Improving Measurement Accuracy With a Neuro-Inspired Multi-Sensor Approach)

    13-13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 Shanghai, People’ s Republic of China, by NewsRx correspondents, research stated, “In this paper, we present a novel approach that draws inspiration from the way the brain proces ses sensory information, using multiple sensors to provide redundant and complem entary information that can be combined with machine learning techniques to impr ove accuracy and reduce noise.”

    Reports on Machine Learning from Zhengzhou University Provide New Insights (Fati gue Life Prediction of the Fcc-based Multiprincipal Element Alloys Via Domain K nowledge-based Machine Learning)

    13-14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 Zhengzhou, People’s Republic of China, by NewsRx correspondents, research stated, “We propo se a machine learning (ML) model to predict the fatigue life of multi -principal element alloys (MPEAs) by extracting features from empirical formulas. The mode l is built on XGBoost and GBDT, and outperforms the single ML model, with almost all predictions lying in the +/- 2 error bands and the relative error not excee ding 0.16 in the extrapolation test.”

    New Robotics Study Findings Recently Were Reported by Researchers at University of Rome Tor Vergata (A Robotized Bed for Bedridden Patients)

    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 study results on robotics have bee n published. According to news reporting from Rome, Italy, by NewsRx journalists , research stated, “Longtime bedridden patients may have serious problems from t he immobilization and a reposition of their body can be often request at least t o mitigate effects in pulmonary complications and pressure ulcers.” Our news editors obtained a quote from the research from University of Rome Tor Vergata: “This paper approaches the problem on how to give basic movements to th ose patients to help in those situations by permitting body repositioning throug h movements of bed segments. The solution is proposed in term of design of struc ture and control of a robotized hospital-type bed in which the bed structure is portioned in segments that are properly activated and controlled by a specific m echanism with a specific controlled operation.”

    Findings from University of Chittagong in Machine Learning Reported (Unbiased em ployee performance evaluation using machine 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 – Investigators discuss new findings in artificial intelligence. According to news reporting out of Chittagong, Banglade sh, by NewsRx editors, research stated, “Most of the companies’ sustainability a nd growth depend on how well its employees perform. However, the measurement of employees’ performance until now is inconclusive and inexhaustive.”

    Data from Karlsruhe Institute of Technology (KIT) Provide New Insights into Mach ine Learning (Big Data and Machine Learning In Cost Estimation: an Automotive Ca se Study)

    16-17页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have be en published. According to news reporting out of Karlsruhe, Germany, by NewsRx e ditors, the research stated, “This paper presents a case study on the applicabil ity of machine learning and big data technology for product cost estimation, usi ng data on the material cost of passenger cars. The study provides contributions to six research aspects.”

    Rochester Institute of Technology Reports Findings in Heart Failure (A machine l earning model to predict heart failure readmission: toward optimal feature set)

    17-17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 Heart Disorders and Di seases - Heart Failure is the subject of a report. According to news originating from Rochester, New York, by NewsRx correspondents, research stated, “Hospital readmissions for heart failure patients remain high despite efforts to reduce th em. Predictive modeling using big data provides opportunities to identify high-r isk patients and inform care management.”