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    Researchers from Imperial College London Report Findings in Machine Learning (Investigating the Impact of Cumulative Pressureinduced Stress On Machine Learning Models for Pipe Breaks)

    47-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Machine Learning. According to news reportingoriginating from London, United Kingdom, by NewsRx correspondents, research stated, “Significantfinancial resources are needed for the maintenance and rehabilitation of water supply networks (WSNs) toprevent pipe breaks. The causes and mechanisms for pipe breaks vary between different WSNs.”

    New Machine Learning Data Has Been Reported by a Researcher at La Trobe University (Advancements in Understanding Interface Friction: A Combined Experimental and Machine Learning Approach Using Multiple Linear and Random Forest Regressions)

    48-49页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on artificial intelligence is the subject of a new report. Accordingto news originating from Bundoora, Australia, by NewsRx editors, the research stated, “The interfacefriction between granular materials and continuum surfaces is fundamental in civil engineering, especiallyin geotechnical projects where sand of varying sizes and shapes contacts surfaces with different roughnessand hardness.”

    Data on Muscular Atrophy Reported by Zhenyu Zhang and Colleagues (Epigenetic characterization of sarcopenia-associated genes based on machine learning and network screening)

    49-50页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Musculoskeletal Diseases and Conditions - Muscular Atrophy isthe subject of a report. According to news reporting originating from Shenzhen, People’s Republic ofChina, by NewsRx correspondents, research stated, “To screen characteristic genes related to sarcopeniaby bioinformatics and machine learning, and to verify the accuracy of characteristic genes in the diagnosisof sarcopenia. Download myopia-related data sets from geo public database, find the differential genesthrough R language limma package after merging, STRING database to build protein interaction network,and do Go analysis and GSEA analysis to understand the functions and molecular signal pathways thatmay be affected by the differential genes.”

    New Findings on Robotics and Automation Described by Investigators at Commonwealth Scientific and Industrial Research Organisation (CSIRO) (Geoadapt: Self-supervised Test-time Adaptation In Lidar Place Recognition Using Geometric Priors)

    50-50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 Robotics - Robotics and Automation. According tonews reporting from Pullenvale, Australia, by NewsRx journalists, research stated, “LiDAR place recognitionapproaches based on deep learning suffer from significant performance degradation when there is a shiftbetween the distribution of training and test datasets, often requiring re-training the networks to achievepeak performance. However, obtaining accurate ground truth data for new training data can be prohibitivelyexpensive, especially in complex or GPS-deprived environments.”

    New Machine Learning Study Results from Ohio State University Described (An Additive Manufacturing Testbed to Evaluate Machine Learning-Based Autonomous Manufacturing)

    51-52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 artificial intelligence. According to news originatingfrom Ohio State University by NewsRx editors, the research stated, “This paper details the designand operation of a testbed to evaluate the concept of autonomous manufacturing to achieve a desiredmanufactured part performance specification.”

    Data on Machine Learning Reported by Paulina Adamczyk and Colleagues (Can gamification reduce the burden of self-reporting in mHealth applications? A feasibility study using machine learning from smartwatch data to estimate cognitive load)

    51-51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 the subject of a report. According to news reportingout of Krakow, Poland, by NewsRx editors, research stated, “The effectiveness of digital treatmentscan be measured by requiring patients to self-report their state through applications, however, it can beoverwhelming and causes disengagement. We conduct a study to explore the impact of gamification onself-reporting.”

    Researchers from Indiana University Detail New Studies and Findings in the Area of Artificial Intelligence (Artificial Intelligence and the Simulationists)

    52-53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 Artificial Intelligence is now available. According to news reportingout of Bloomington, Indiana, by NewsRx editors, research stated, “The recent introduction of ChatGPT,an advanced, easy-to-use, and freely available artificial intelligence (AI) program, created new possibilitiesacross many industries and professions including healthcare simulation.”

    Findings from Shandong University in Robotics Reported (Humanrobot Deformation Manipulation Skill Transfer: Sequential Fabric Unfolding Method for Robots)

    53-54页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Robotics. According to news reporting fromJinan, People’s Republic of China, by NewsRx journalists, research stated, “Deformable object manipulationhas been considered a challenging task for robots for its complex dynamics and the infinite dimensionalconfiguration space. Fabric unfolding manipulation takes on critical significance in the textile industry andhousehold services.”

    Reports Summarize Artificial Intelligence Findings from Chongqing Normal University (From Beasts To Bytes: Revolutionizing Zoological Research With Artificial Intelligence)

    54-54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 Artificial Intelligence. According to news originating fromChongqing, People’s Republic of China, by NewsRx correspondents, research stated, “Since the late 2010s,Artificial Intelligence (AI) including machine learning, boosted through deep learning, has boomed as avital tool to leverage computer vision, natural language processing and speech recognition in revolutionizingzoological research. This review provides an overview of the primary tasks, core models, datasets, andapplications of AI in zoological research, including animal classification, resource conservation, behavior,development, genetics and evolution, breeding and health, disease models, and paleontology.”

    Study Results from University of Applied Sciences Broaden Understanding of Robotics (Observing the Interaction Between a Sociallyassistive Robot and Residents In a Nursing Home)

    55-55页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Robotics is the subject of a report. According to news reporting fromVienna, Austria, by NewsRx journalists, research stated, “Due to demographic change and transformationsin domestic structures as well as working environments, the need for formal care continues to increase.This process leads to a significantly greater number of care workers that will be needed in the future.”