查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report. According to news reporting from Durgapur, Ind ia, by NewsRx journalists, research stated, “The rapid growth of natural languag e processing (NLP) applications, such as text summarization, speech recognition, information extraction, and machine translation, has led to the development of structured query language (SQL) for extracting information from structured data. However, due to limited resources, converting Natural Language (NL) queries to SQL in Bengali is challenging.”
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 reporting originating from Jiangsu, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Yield stren gth determines the material’s resistance to permanent deformation. However, the traditional estimation method based on the triple relationship of Vickers hardne ss exhibits limited accuracy when applied to tungsten heavy alloys (WHA) with tw o-phase structure.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
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 from Barcelona, Spain, by NewsRx journalists, research stated, “This study proposes a machine learning based meth odology for estimating Arctic thin sea ice thickness (up to 1 m) from brightness temperature measurements of SMOS.” Financial supporters for this research include Aei With The Arctic-mon Project; Programació,N Conjunta Internacional; Spanish Government; Severo Ochoa Centre of Excellence.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Artificial Intelligen ce have been presented. According to news reporting out of Guangzhou, People’s R epublic of China, by NewsRx editors, research stated, “The issue of distributive justice in charitable donations has become increasingly prominent. It not only weakens people’s confidence in philanthropy but also their enthusiasm for partic ipation.” Funders for this research include Ministry of Education, China, National Natural Science Foundation of Guangdong Province, Guangdong Office of Philosophy and So cial Sciences.
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 Robotics is now availab le. According to news originating from Xi’an, People’s Republic of China, by New sRx correspondents, research stated, “Belt grinding is commonly applied for prec ision manufacturing of difficult-to-machine materials like GH4169, owing to its satisfactory elastic grinding properties, high efficiency, and strong adaptabili ty. Abrasive belt wear is a common occurrence during the grinding process; howev er, its mechanism and effect on machining quality, particularly its influence on residual stress (RS), remain unclear.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
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 Fargo, North Dakota, by NewsR x editors, research stated, “Human-robot collaboration (HRC) has emerged as a pr omising frontier within the construction industry, offering the potential to enh ance productivity, safety, and efficiency. The effectiveness of HRC critically d epends on the degree of trust that workers place in their robots, and establishi ng a seamless level of trust in robots is essential to realize the full benefits of HRC.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Gastroenterology - Abd ominal Pain is the subject of a report. According to news reporting out of Wuhan , People’s Republic of China, by NewsRx editors, research stated, “Acute abdomin al pain (AAP) is a common symptom presented in the emergency department (ED), an d it is crucial to have objective and accurate triage. This study aims to develo p a machine learning-based prediction model for AAP triage.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New study results on artificial intelligence have been published. According to news reporting out of Beijing, People’s Republic o f China, by NewsRx editors, research stated, “Drilling fluid is pivotal for effi cient drilling.” Financial supporters for this research include National Natural Science Foundati on of China. Our news journalists obtained a quote from the research from China University of Petroleum: “However, the gelation performance of drilling fluids is influenced by various complex factors, and traditional methods are inefficient and costly. Artificial intelligence and numerical simulation technologies have become transf ormative tools in various disciplines. This work reviews the application of four artificial intelligence techniques-expert systems, artificial neural networks ( ANNs), support vector machines (SVMs), and genetic algorithms-and three numerica l simulation techniques-computational fluid dynamics (CFD) simulations, molecula r dynamics (MD) simulations, and Monte Carlo simulations-in drilling fluid desig n and performance optimization. It analyzes the current issues in these studies, pointing out that challenges in applying these two technologies to drilling flu id gelation performance research include difficulties in obtaining field data an d overly idealized model assumptions. From the literature review, it can be esti mated that 52.0% of the papers are related to ANNs. Leakage issues are the primary concern for practitioners studying drilling fluid gelation perf ormance, accounting for over 17% of research in this area.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news originating from Ferrara, Italy, by Ne wsRx correspondents, research stated, “Integration between constrained optimizat ion and deep networks has garnered significant interest from both research and i ndustrial laboratories.” Our news editors obtained a quote from the research from University of Ferrara: “Optimization techniques can be employed to optimize the choice of network struc ture based not only on loss and accuracy but also on physical constraints. Addit ionally, constraints can be imposed during training to enhance the performance o f networks in specific contexts. This study surveys the literature on the integr ation of constrained optimization with deep networks. Specifically, we examine t he integration of hyper-parameter tuning with physical constraints, such as the number of FLOPS (FLoating point Operations Per Second), a measure of computation al capacity, latency, and other factors. This study also considers the use of co ntext-specific knowledge constraints to improve network performance. We discuss the integration of constraints in neural architecture search (NAS), considering the problem as both a multi-objective optimization (MOO) challenge and through t he imposition of penalties in the loss function.”
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 originating from Vienna, Austria, by NewsRx correspondents, research stated, “In their seminal paper, Graetz and Mic haels (2018) find that robots increase productivity, lower output prices, and ad versely affect the share of low-skilled labor. We demonstrate that these effects are partly driven by the sample composition and argue that focusing on manufact uring industries yields more credible results regarding the overall economic eff ects of robotization.” Our news editors obtained a quote from the research from the Austrian Institute of Economics Research, “The results show that focusing on robotizing industries leads to a sizable drop of the productivity effects, halving the effect size for labor productivity. Pronounced consequences from the sample choice occur for wa ge effects that are reversed from significantly positive into significantly nega tive.”
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