查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting from the National Ins titute of Technology Srinagar by NewsRx journalists, research stated, “The corro sion rate is a crucial factor that impacts the longevity of materials in differe nt applications. After undergoing friction stir processing (FSP), the refined gr ain structure leads to a notable decrease in corrosion rate.” Our news journalists obtained a quote from the research from National Institute of Technology Srinagar: “However, a better understanding of the correlation betw een the FSP process parameters and the corrosion rate is still lacking. The curr ent study used machine learning to establish the relationship between the corros ion rate and FSP process parameters (rotational speed, traverse speed, and shoul der diameter) for WE43 alloy. The Taguchi L27 design of experiments was used for the experimental analysis. In addition, synthetic data was generated using part icle swarm optimization for virtual sample generation (VSG). The application of VSG has led to an increase in the prediction accuracy of machine learning models . A sensitivity analysis was performed using Shapley Additive Explanations to de termine the key factors affecting the corrosion rate. The shoulder diameter had a significant impact in comparison to the traverse speed.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Tartu, Estonia, by New sRx correspondents, research stated, “With the booming demand for machine learni ng applications, it has been recognized that the number of knowledgeable data sc ientists cannot scale with the growing data volumes and application needs in our digital world. In response to this demand, several automated machine learning ( AutoML) frameworks have been developed to fill the gap of human expertise by aut omating the process of building machine learning pipelines.” Financial support for this research came from European Social Fund (ESF).
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 Machine Learn ing have been published. According to news reporting out of Coimbatore, India, b y NewsRx editors, research stated, “The integration of emerging technologies int o the construction industry is crucial for the successful execution of technolog ically sophisticated initiatives. Multiple disciplines of Artificial Intelligenc e (AI) have undergone advancements in recent times, encompassing automation and prediction.” Our news journalists obtained a quote from the research from Sri Ramakrishna Eng ineering College, “Machine learning (ML), a subset of AI, has been predominantly applied to the domain of prediction. Hence, the focus of this review is on nume rous machine learning techniques applied in the mechanical evaluation of concret e. Additionally, the whole life cycle of concrete is examined to promote sustain able practices that minimize negative environmental impacts. The evaluation furt her examines the challenges and prospective advancements of AI within the constr uction sector, considering the increasing reliance on technological improvement in the next decades.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Artificial Intelligence have bee n presented. According to news reporting from Cambridge, Massachusetts, by NewsR x editors, the research stated, “I review opportunities and threats that widely accessible Artificial Intelligence (AI)-powered services present for educational statistics and measurement. Algorithmic and computational advances continue to improve approaches to item generation, scale maintenance, test security, test sc oring, and score reporting.” The news correspondents obtained a quote from the research from Harvard Universi ty, “Predictable misuses of AI for these purposes will result in biased scores, construct underrepresentation, and differential impact over time. Recent efforts to develop standards for AI use in testing like those of Burstein are promising .”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Artificial Intelligence is now available. According to news reporting originating in Leipzig, Germany, by NewsRx journalists, research stated, “PurposeThe aim of this paper is to expl ore how multi-national corporations (MNCs) can effectively adopt artificial inte lligence (AI) into their talent acquisition (TA) practices.”
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 Machine Learning. According to news reporting from Richmond, Virginia, by NewsRx journa lists, research stated, “In this study, we introduce SAPT10K, a comprehensive da taset comprising 9982 noncovalent interaction energies and their binding energy components (electrostatics, exchange, induction, and dispersion) for diverse int ermolecular complexes of 944 unique dimers. These complexes cover significant po rtions of the intermolecular potential energy surface and were computed using hi gher-order symmetry-adapted perturbation theory, SAPT2+(3)(CCD), with a large au g-cc-pVTZ basis set.” Funders for this research include American Chemical Society, American Chemical S ociety, VCU Graduate School Dissertation Assistantship.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented i n a new report. According to news reporting out of Vaxjo, Sweden, by NewsRx edit ors, research stated, “Robotic services’ popularity continues to increase due to technological advancements, labour shortages, and global crises. Yet, while pro viding these services, robots are subject to occasional physical interruption by humans to them, thus restricting their functioning and, at times, leading to fa ilure.” Our news journalists obtained a quote from the research from Linnaeus University , “To investigate this issue, the present study examined the role of third-party human interference in service robot failures and its effects on the observers’ attitudes towards and willingness to engage with the robot. We manipulated human interference resulting in different robotic service failures in two online scen ario-based experiments. The results revealed that individuals held less favourab le attitudes towards a failed service robot without (vs. with) physical human in terference, and they were less willing to engage with the failed service robot w ithout (vs. with) physical human interference. The perceived deservingness of th e robot accounted for this effect, moderated by the person’s self-efficacy regar ding robots.”
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 computational intelligence have been published. According to news reporting originating from Mie, Japan, by NewsRx correspondents, research stated, “Maintaining high-quality road markings is essential for both safety and traffic flow.” The news correspondents obtained a quote from the research from Mie University: “However, there has been limited research on automating the process of evaluatin g the quality of these markings and identifying degraded ones that need to be fi xed. Our paper introduces a new approach that uses uncertainty aware (UA) regres sion to evaluate the quality of road surface markings. The approach is based on deep learning models and a unique training method called “progressive pretrainin g (PPT).” We used a dataset of RGB images which we converted to binary masks. Th ese masks were then augmented and used to train convolutional neural networks mo dels with a PPT strategy. The results showed that both the hybrid and UA models managed to outperform the baseline model in some metrics such as mean average er ror which was at 24.38% and accuracy with 81.27%.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on computational int elligence are discussed in a new report. Accordingto news originating from Wuha n, People’s Republic of China, by NewsRx correspondents, researchstated, “The p re-chamber pressure is an important control parameter that affects the coke dry quenchingprocess.”Financial supporters for this research include National Natural Science Foundati on of China; NaturalScience Foundation of Hubei Province; Higher Education Disc ipline Innovation Project; China PostdoctoralScience Foundation.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting originating in Wuhan, People’ s Republic of China, by NewsRx journalists, research stated, “Adaptability is on e of the most important survival and living abilities in nature and human societ y, which needs to perceive the environment and regulate self-behaviors. To empow er robots in manufacturing with this ability, an observer-based variable impedan ce control scheme is proposed in this article.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
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