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    Data on Robotics Reported by Researchers at Michigan State University (Back-step ping Experience Replay With Application To Model-free Reinforcement Learning for a Soft Snake Robot)

    29-29页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Robotic s. According to news reporting originating in EastLansing, Michigan, by NewsRx journalists, research stated, “In this letter, we propose a novel technique,Bac k-stepping Experience Replay (BER), that is compatible with arbitrary off-policy reinforcement learning(RL) algorithms. BER aims to enhance learning efficiency in systems with approximate reversibility, reducingthe need for complex reward shaping.”

    Second Affiliated Hospital Reports Findings in Machine Learning (Machine Learnin g Identify Ferroptosis-Related Genes as Potential Diagnostic Biomarkers for Gast ric Intestinal Metaplasia)

    30-30页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting from Hefei, People’s Republic of China, by NewsRx journalists, research stated, “Gastric intestinalmetaplasi a(GIM) is an independent risk factor for GC, however, its pathogenesis is still unclear. Ferroptosisis a new type of programmed cell death, which may be involv ed in the process of GIM.”

    Beijing University of Technology Researcher Has Published New Study Findings on Machine Learning (Machine Learning and Deep Learning Approaches in Lifespan Brai n Age Prediction: A Comprehensive Review)

    31-31页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on artificial intelligence are presented in a new report. According to newsreporting out of Beijing, Peopl e’s Republic of China, by NewsRx editors, research stated, “The conceptof ‘brai n age’, derived from neuroimaging data, serves as a crucial biomarker reflecting cognitive vitalityand neurodegenerative trajectories.”

    Investigators from Northeast Normal University Release New Data on Machine Learn ing (Evaluation of Photosynthesis Estimation From Machine Learning-based Solar-i nduced Chlorophyll Fluorescence Downscaling From Canopy To Leaf Level)

    32-33页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learn ing have been published. According tonews reporting from Changchun, People’s Re public of China, by NewsRx journalists, research stated,“Solar-induced chloroph yll fluorescence (SIF) is strongly correlated with gross primary productivity (GPP). Satellite-observed canopy SIF (SIFobs) captures only a part of the total le af-emitted SIF (SIFtotal);therefore, SIFobs may hinder the interpretation of th e physiological mechanism for GPP estimation.”

    Findings from Delft University of Technology in the Area of Robotics Described ( Learning-based Methods for Adaptive Informative Path Planning)

    33-33页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Robotics are presented i n a new report. According to news originatingfrom Delft, Netherlands, by NewsRx correspondents, research stated, “Adaptive informative path planning(AIPP) is important to many robotics applications, enabling mobile robots to efficiently c ollect usefuldata about initially unknown environments. In addition, learning - based methods are increasingly used inrobotics to enhance adaptability, versati lity, and robustness across diverse and complex tasks.”

    Researchers from University of Genoa Discuss Findings in Robotics (A Laser-guide d Interaction Interface for Providing Effective Robot Assistance To People With Upper Limbs Impairments)

    34-34页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Robotics is now availab le. According to news reporting originating inGenoa, Italy, by NewsRx journalis ts, research stated, “Robotics has shown significant potential in assistingpeop le with disabilities to enhance their independence and involvement in daily acti vities. Indeed, asocietal long-term impact is expected in home-care assistance with the deployment of intelligent roboticinterfaces.”

    Study Findings from Clemson University Provide New Insights into Machine Learnin g (Investigating the Influence of Measurement Uncertainty On Chlorophyll-a Predi ctions As an Indicator of Harmful Algal Blooms In Machine Learning Models)

    35-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingfrom Pendleton, South Carolina, by N ewsRx journalists, research stated, “Advancements in data availability,includin g high frequency, near real-time multiparameter sensors, laboratory analysis, an d in-situand remote observations, have driven the development of machine learni ng (ML) models for applicationssuch as toxic Harmful Algal Bloom (HABs) monitor ing. However, the performance of ML predictions isinfluenced by both model unce rtainties due to inherent model structures and errors associated with inputdata set measurements.”

    New Machine Learning Findings from Beihang University Described (Design and Opti mization of Multicomponent Electrolytes for Lithium-sulfur Battery: a Machine Le arning Concept and Outlook)

    36-37页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Machine Learning. According to news reporting fromBeijing, People’s Republic of China, by NewsRx journalists, research stated, “Lithium-sulfur batteries(LSBs) have a ttracted increasing attention in the past decades due to their great potential t o thenext-generation high-energy-density storage systems. As important as elect rodes, electrolytes that couldstrongly determine battery performance via compon ent regulation have left big difficulties in clarifyingtheir complex interactio ns caused by multicomponent as well as the intricate formation mechanism of passivation layers at the electrolyte-electrode interfaces.”

    Findings from University of Carlos Ⅲ Madrid Has Provided New Data on Robotics (A Bio-inspired Exogenous Attention-based Architecture for Social Robots)

    37-37页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ro botics. According to news reporting out ofLeganes, Spain, by NewsRx editors, re search stated, “Social robots are increasingly becoming part of oursociety. In this sense, such robots’ interaction capabilities depend largely on their abilit y to detect andrespond to stimuli in their environment as humans would.”

    Studies Conducted at Shibaura Institute of Technology on Machine Learning Recent ly Published (Work-Spot Preference Estimation Using Machine Learning for Activit y-Based Workplaces)

    38-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in artific ial intelligence. According to news reportingfrom Tokyo, Japan, by NewsRx journ alists, research stated, “This paper addresses the hypothesis that the preferenc e of a worker toward a work spot depends on attribute information such as her or his age andposition and the type of work task on which she or he is working on that day.”