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 artificial in telligence have been published. According to news originating from the Universit y of Tasmania by NewsRx correspondents, research stated, "This paper employs ins ights from earth science on the financial risk of project developments to presen t an economic theory of critical minerals." Our news journalists obtained a quote from the research from University of Tasma nia: "Our theory posits that back-ended critical mineral projects that have unad dressed technical and non-technical barriers, such as those involving lithium an d cobalt, exhibit an additional risk for investors which we term the ‘back-ended risk premium'. We show that the back-ended risk premium increases the cost of c apital and, therefore, has the potential to reduce investment in the sector. We posit that the back-ended risk premium may also reduce the gains in productivity expected from artificial intelligence (AI) technologies in the mining sector. P rogress in AI may, however, lessen the back-ended risk premium itself by shorten ing the duration of mining projects and the required rate of investment by reduc ing the associated risk."
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 Robotic s. According to news reporting out of Shenyang, People's Republic of China, by N ewsRx editors, research stated, "Social robots are increasingly utilized across domains like education, healthcare, and elderly care. Research has examined how the robot's postures impact social perceptions, but few studies have investigate d the effects of robots' bodily movements with dynamics gait variations on attri buted authority and warmth." Funders for this research include National Natural Science Foundation of China ( NSFC), Natural Science Foundation of Hebei Province, Moonshot RD.
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 robotic s. According to news originating from Maribor, Slovenia, by NewsRx editors, the research stated, "This study investigates the relationship between collaborative robot (CR) parameters and worker utilization and system performance in human-ro bot collaboration (HRC) environments." Financial supporters for this research include Slovenian Research Agency. Our news correspondents obtained a quote from the research from University of Ma ribor: "We investigated whether optimized parameters increase workplace efficien cy and whether adapting these parameters to the individual worker improves workp lace outcomes. Three experimental scenarios with different CR parameters were an alyzed in terms of the setup time, assembly time, finished products, work in pro cess, and worker utilization. The main results show that personalized CR paramet ers significantly improve efficiency and productivity. The scenario in which CR parameters were tailored to individual workers, balanced the workload, and minim ized worker stress, resulting in higher productivity compared to non-people-cent ric settings. The study shows that personalization reduces cognitive and physica l stress, promotes worker well-being, and is consistent with the principles of h uman-centered manufacturing."
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 from Shanghai, People's Repu blic of China, by NewsRx journalists, research stated, "Coastal ecosystems are f acing critical water quality deterioration, while the most convenient passage to the South China Sea, Beibu Gulf, has been under considerable pressure to its ec ological environment due to rapid development and urbanization. In this study, w e characterized the spatiotemporal change in the water quality in Beibu Gulf and proposed a machine learning approach to predict the water pollution level in Be ibu Gulf on the basis of 5-year (2018-2022) observation data of ten water qualit y parameters from ten selected sites." Financial supporters for this research include Key Research And Development Prog ram of Guangxi Zhuang Autonomous Region.
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 originating from the Chinese Research Academy of Environmental Sciences by NewsRx correspondents, research s tated, "Rivers are well known as one of the most threatened aquatic environments , whose structure and water quality can be deeply impacted by intensive anthropo genic activities. Despite the fact that anthropogenic influences on river ecosys tems could indeed be deduced from the composition and chemistry of fluvial disso lved organic matter (DOM), sources of anthropogenic loading to DOM are still poo rly explored." Financial supporters for this research include National Key Research And Develop ment Program of China.
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 . Accor ding to news reporting from Stuttgart, Germany, by NewsRx journalists, research stated, "A machine learning based approach is presented which allows to detect p ersistent engine faults after a single flight. It utilizes transient in-flight m easurements and atransient engine model." Our news journalists obtained a quote from the research from University of Stutt gart: "The time series of the residuals between the measured data and the data r esulting from performance synthesis is evaluated using moving windows containing at least one transient segment. A continuous wavelet transformation and a pre-t rained convolutional neural network are utilized on the residuals for feature ex traction. The fault detection is carried out via a one-class support vector mach ine, trained exclusively on nominal engine operation data. Therefore, the approa ch requires no a-priory knowledge of the effects of engine faults on the in-flig ht measurements. Under the assumption of persistent faults, all windows of a sin gle flight which contain at least one transient segment are considered in order to improve the reliability of the fault detection. This approach is validated us ing measured data of a small helicopter engine that replicates the dynamic fligh t of the corresponding model helicopter on a ground test bed. Consequently, step changes as well as complex variations of the shaft power output are considered. "
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 out of Seoul, Sout h Korea, by NewsRx editors, research stated, "Researchers have noted that the ad vent of artificial intelligence (AI) heralds a promising era, with potential to significantly enhance diagnostic and predictive abilities in clinical settings. The aim of this meta-analysis is to evaluate the discrepancies in identifying an atomical landmarks between AI and manual approaches." The news reporters obtained a quote from the research from Catholic University o f Korea: "A comprehensive search strategy was employed, incorporating controlled vocabulary (MeSH) and free-text terms. This search was conducted by two reviewe rs to identify published systematic reviews. Three major electronic databases, n amely, Medline via PubMed, the Cochrane database, and Embase, were searched up t o May 2024. Initially, 369 articles were identified. After conducting a comprehe nsive search and applying strict inclusion criteria, atotal of ten studies were deemed eligible for inclusion in the meta-analysis. The results showed that the average difference in detecting anatomical landmarks between artificial intelli gence and manual approaches was 0.35, with a 95% confidence interv al (CI) ranging from -0.09 to 0.78. Additionally, the overall effect between the two groups was found to be insignificant. Upon further analysis of the subgroup of cephalometric radiographs, it was determined that there were no significant differences between the two groups in terms of detecting anatomical landmarks. S imilarly, the subgroup of cone-beam computed tomography (CBCT) revealed no signi ficant differences between the groups."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Artificial Intelligence. According to news originating from Dusseldorf, Germany, by NewsRx correspondents, research stated, "Organizations increasingly implemen t AI for career development to enhance efficiency. However, there are concerns a bout employees' acceptance of AI and the literature on employee acceptance of AI is still in its infancy." Financial support for this research came from Projekt DEAL. Our news journalists obtained a quote from the research from Heinrich-Heine-Univ ersity Dusseldorf, "To address this research gap, integrating justice theory, we investigate the effects of the deciding entity (human, human and AI, and AI) an d the impact of the data source (internal data, external data), on employees' re actions. Using a scenario-based between-subject design, displaying a common situ ation in organizations (N = 280) and an additional causal-chain-approach (N = 15 7), we examined whether a decrease of human involvement in decision making dimin ishes employees' perceived fairness and satisfaction with the career development process and increases their perceived privacy intrusion. Although we also consi dered other data sources to moderate the proposed relationships, we found no sup port for interaction effects. Finally, fairness and privacy intrusion mediated t he influence of the deciding entity and data source on turnover intention and em ployer attractiveness, while satisfaction with the process did not."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting originating from Beijing, People's R epublic of China, by NewsRx correspondents, research stated, "We employ machine to learn the continuous fundamental information and elucidate the fundamental mo mentum in the noisy Chinese stock market. We extract fundamental implied compone nt from realized returns and sort stocks with the trend of implied parts." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Fundamental Research Funds for the Central Universities. Our news editors obtained a quote from the research from the Central University of Finance and Economics, "The high-dimensional fundamental momentum significant ly differentiates from its predecessor, yielding an annualized return of 13.8% . Underreaction in investors helps explain the strategy, as it generates stronge r profit during periods of low investor sentiment and in subsamples with high id iosyncratic volatility. The retail investors in China are prone to distort the p resentation of momentum."
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 originating from Baton Rouge, Louisiana, by NewsRx correspondents, research stated, "Teeth from the Family Bovidae that are associated with our early humans ancestors are important for reconstructing paleoenviro nments. However, age, degree of attrition, and taphonomic factors often make fos sil identification difficult."
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