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    National Research Council Reports Findings in Artificial Intelligence (Artificial Intelligence Tools for the Diagnosis of Eosinophilic Esophagitis in Adults Reporting Dysphagia: Development, External Validation, and Software Creation for ...)

    84-85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 report. According to news reportingfrom Pisa, Italy, by NewsRx journalists, research stated, “Despite increased awareness of eosinophilic esophagitis (EoE), the diagnostic delay has remained stable over the past three decades. There is a needto improve the diagnostic performance and optimize resources allocation in the setting of EoE.”

    Recent Research from Changchun University of Technology Highlight Findings in Robotics (Adaptive Boundary Control for Multiconstrained Rigidflexible Robot With Actuator and Sensor Concurrent Failures)

    85-86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 Robotics have been published. According to news reporting originating in Jilin, People’s Republic of China, by NewsRx journalists, research stated, “In this article,an adaptive boundary control strategy of a rigid-flexible robot with concurrence failures and multipleconstraints is studied based on a distributed parameter model. The complex dynamic of the rigid-flexiblerobot system is expressed by ordinary differential equation (ODE) and partial differential equation (PDE),which can avoid control overflow problem.”

    Studies from University of California Los Angeles (UCLA) Yield New Information about Robotics (Sim2real Neural Controllers for Physics-based Robotic Deployment of Deformable Linear Objects)

    86-87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 outof Los Angeles, California, by NewsRx editors, research stated, “Deformable linear objects (DLOs), suchas rods, cables, and ropes, play important roles in daily life. However, manipulation of DLOs is challengingas large geometrically nonlinear deformations may occur during the manipulation process.”

    Studies from Georg-August-University Further Understanding of Machine Learning (From Outcrop To Spectrum-an Automated Approach To Modal Mineralogy of Silt-sized Sediment Applied To Central European Loess)

    87-88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 Learning have been published. According to newsreporting originating from Gottingen, Germany, by NewsRx correspondents, research stated, “Provenanceinformation from recent and ancient sedimentary archives is obscured by several factors and for disentanglingthese intermingled signals, analysis by multiple methods is paramount. In sedimentary provenance analysis(SPA), single-grain methods determining mineralogy, chemical composition, or radiometric ages are of keyimportance but are mostly applied to sand-sized sediments or sedimentary rocks.”

    Findings on Robotics Reported by Investigators at Eindhoven University of Technology (The Impact of Social Robots’ Presence and Roles On Children’s Performance In Musical Instrument Practice)

    89-89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 Robotics have been published. According to news reportingoriginating in Eindhoven, Netherlands, by NewsRx journalists, research stated, “Research on the educationalapplications of social robots has shown how they can motivate children and help improve academic learningoutcomes. Here, we examine how robots can support skill learning and, more specifically, musical instrumentpractice.”

    Data from Beijing Institute of Technology Provide New Insights into Androids (Online Adaptive Motion Generation for Humanoid Locomotion On Non-flat Terrain Via Template Behavior Extension)

    89-90页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics - Androids are discussed in a new report. According tonews reporting originating in Beijing, People’s Republic of China, by NewsRx journalists, research stated, “For humanoid robots, online motion generation on non-flat terrain remains an ongoing research challenge.Computational complexity is one of the primary restrictions that preclude motion planners from generatingadaptive behaviors online.”

    Findings from Yangzhou University Has Provided New Data on Machine Learning (Interpretable Machine Learning-assisted Highthroughput Screening for Understanding Nrr Electrocatalyst Performance Modulation Between Active Center and C-n ...)

    90-91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 Learning have been published. According to newsreporting originating in Yangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Understanding the correlation between the fundamental descriptors and catalytic performance is meaningfulto guide the design of high-performance electrochemical catalysts. However, exploring key factorsthat affect catalytic performance in the vast catalyst space remains challenging for people.”

    Meiji University Researcher Details Research in Robotics and Mechatronics (Dataset Creation for Semantic Segmentation Using Colored Point Clouds Considering Shadows on Traversable Area)

    91-92页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on robotics and mechatronics have been published. According tonews reporting from Kanagawa, Japan, by NewsRx journalists, research stated, “Semantic segmentation,which provides pixel-wise class labels for an input image, is expected to improve the movement performanceof autonomous robots significantly.”

    University of Georgia Reports Findings in Machine Learning (Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study)

    92-93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 newsreporting originating in Athens, Georgia, by NewsRx journalists, research stated, “Large language models,such as ChatGPT, are capable of generating grammatically perfect and human-like text content, and alarge number of ChatGPT-generated texts have appeared on the internet. However, medical texts, suchas clinical notes and diagnoses, require rigorous validation, and erroneous medical content generated byChatGPT could potentially lead to disinformation that poses significant harm to health care and the generalpublic.”

    Studies Conducted at Birla Institute of Technology and Science Pilani on Machine Learning Recently Reported (Explainability and Extrapolation of Machine Learning Models for Predicting the Glass Transition Temperature of Polymers)

    93-94页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are presented in a new report. According to newsoriginating from Hyderabad, India, by NewsRx correspondents, research stated, “Machine learning (ML)offers promising tools to develop surrogate models for polymers’ structure-property relations. Surrogatemodels can be built upon existing polymer data and are useful for rapidly predicting the properties ofunknown polymers.”