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    Investigators at University of Padua Describe Findings in Machine Learning (Pred iction of Spatter-related Defects In Metal Laser Powder Bed Fusion By Analytical and Machine Learning Modelling Applied To Off-axis Long-exposure Monitoring)

    39-40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 reportingoriginating in Vicenza, Italy, by Ne wsRx journalists, research stated, “Laser powder bed fusion of metalsis increas ingly used for fabricating complex parts requiring good mechanical properties. S imultaneously,researchers in the field are intensifying the efforts to reduce d efects, such as internal porosities, whichhinder a wider industrial adoption of this technology, urging process monitoring to a pivotal role in defectidentifi cation and mitigation.”

    Data on Machine Translation Described by Researchers at Hunan University (When S tudent Translators Meet With Machine Translation: The Impacts of Machine Transla tion Quality and Perceived Self-Efficacy on Post-Editing Performance)

    40-40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 machine translation is now available. According to news originating fromChangsha, People’s Republic of China, by NewsRx correspondents, research stated, “Machine translationpost-edi ting (MTPE) is a process where humans and machines meet.”Financial supporters for this research include National Social Science Fund of C hina.

    Researchers from Technical University Munich (TU Munich) Describe Findings in Ro botics (Passivity-based Teleoperation With Variable Rotational Impedance Control )

    41-41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 reportingoriginating from Munich, Germany, by NewsRx correspondents, research stated, “In this work, we present anovel bilat eral teleoperation architecture with variable impedance control for orientationa l contact tasks.We exploit Unit Quaternions and tools from Lie Theory to model and manipulate robot orientations, aswell as Learning-from-Demonstration to lea rn a stiffness adaptation policy from the demonstrated taskdynamics.”

    Data from Linkoping University Provide New Insights into Machine Learning (Evalu ating and Improving the Predictive Accuracy of Mixing Enthalpies and Volumes In Disordered Alloys From Universal Pretrained Machine Learning Potentials)

    41-42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 Linkoping, Sweden, by NewsRx jo urnalists, research stated, “The advent of machine learning inmaterials science opens the way for exciting and ambitious simulations of large systems and long timescales with the accuracy of ab initio calculations. Recently, several pretr ained universal machine learned interatomic potentials (UPMLIPs) have been publi shed, i.e., potentials distributed with a single set ofweights trained to targe t systems across a very wide range of chemistries and atomic arrangements.”

    Bharti Vidyapeeth Deemed University Medical College Researchers Target Machine L earning (Dataset of Centella Asiatica leaves for quality assessment and machine learning applicationsMendeley Data)

    42-43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 originating fromPune, India, by NewsRx cor respondents, research stated, “Centella asiatica is a significant medicinal herbextensively used in traditional oriental medicine and gaining global popularity . The primary constituentsof Centella asiatica leaves are triterpenoid saponins , which are predominantly believed to be responsiblefor its therapeutic propert ies.”

    Sichuan University Reports Findings in Machine Learning (Integrating Chemical Me chanisms and Feature Engineering in Machine Learning Models: A Novel Approach to Analyzing HONO Budget)

    43-44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 news originatingfrom Chengdu, People’s Repu blic of China, by NewsRx correspondents, research stated, “Nitrousacid (HONO) s erves as the primary source of OH radicals in the atmosphere, exerting significa nt impactson atmospheric secondary pollution. The heterogeneous reactions of NO on surfaces and photolysis ofparticulate nitrate or adsorbed nitric acid are i mportant sources of atmospheric HONO, yet the correspondingkinetic parameters b ased on laboratory investigations and field observations exhibit considerableva riations.”

    Edith Cowan University Reports Findings in Artificial Intelligence (Parental Ass essment of Postsurgical Pain in Infants at Home Using Artificial Intelligence-En abled and Observer-Based Tools: Construct Validity and Clinical Utility Evaluati on ...)

    44-45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 Intelligenc e is the subject of a report. According to newsreporting from Joondalup, Austra lia, by NewsRx journalists, research stated, “Pain assessment in theinfant popu lation is challenging owing to their inability to verbalize and hence self-repor t pain. Currently,there is a paucity of data on how parents identify and manage this pain at home using standardized painassessment tools.”

    Data from Wageningen University Broaden Understanding of Machine Learning (Biplo ts for understanding machine learning predictions in digital soil mapping)

    45-46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 artificial intelligence. According to news reportingoriginating from Wageningen , Netherlands, by NewsRx correspondents, research stated, “In digital soilmappi ng, machine learning is gradually replacing traditional statistical models becau se of their greaterflexibility and better prediction performance. However, unli ke traditional models, a notable drawbackof machine learning models is that the y are ‘black-box’ in nature due to their limited ability to providecomprehensiv e interpretations for their predictions.”

    Researcher at Institute of Business Management Reports Research in Machine Learn ing (Predictive Maintenance of Industrial Assets: A Fault Detection and Diagnosi s Approach with Explainable AI)

    46-47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 intelligenc e is the subject of a new report. According tonews reporting from Uttar Pradesh , India, by NewsRx journalists, research stated, “Predictive maintenance(PdM) h elps organizations to reduce equipment downtime, optimize maintenance schedules, and enhanceoperational efficiency. By leveraging machine learning algorithms t o predict when equipment failure willlikely occur, maintenance teams can proact ively schedule maintenance activities and prevent unexpectedbreakdowns.”

    Tongji University Reports Findings in Machine Learning (CT-based radiomics predi cts adjacent vertebral fracture after percutaneous vertebral augmentation)

    47-48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 Shanghai, People’s Repub lic of China, by NewsRx journalists, research stated, “Adjacentvertebral fractu re (AVF) is a frequent complication following percutaneous vertebral augmentatio n (PVA).While radiomics is widely utilized in the field of spinal medicine, its application for assessing the risk ofAVF in post-PVA patients remains limited. ”