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 originatingfrom Barcelona, Spain, by NewsRx co rrespondents, research stated, "The aim of this article is to proposea new neur al machine translation (NMT) evaluation method based on the non-inferiority prin ciple. Inorder to do that, we evaluate raw machine translation (MT) in terms of naturalness, which for this researchis defined as not just the lack of fluency errors but also meeting the linguistic expectations of Galician endusers when reading original texts in Galician."Our news journalists obtained a quote from the research from Autonomous Universi ty Barcelona, "Our main objective is, in the first place, to validate the new me thodology presented in our previous study byevaluating an NMT engine from Spani sh into Galician for the social media domain that was retrained witha new Twitt er corpus. This new methodology and NMT engine were applied after analyzing the conclusionsof a pilot survey conducted among Twitter users to evaluate their pe rception of tweets translated fromSpanish into Galician with our NMT engine cre ated with a corpus of tweets. As in our preliminarystudy, our aim is to propose a robust quality approximation method based on the reception parametersof end users' perceptions. This new survey was conducted in December of 2022 with the p articipationof 228 Galician-speaking Twitter users. Among the main changes prop osed are the inclusion of moreinformation about the participant profile, so the non-inferiority principle can be also evaluated accordingto these parameters; the inclusion of a new typology of tweets, the threads; the provision of context bymeans of presenting the tweets in their original display as shown in the Twi tter app; a change in thenumber of tweets evaluated and the number of different questionnaires; the change in the distribution ofthe questionnaires; and the i nclusion of an error classification human evaluation conducted by professionall inguists to correlate the findings. We will present the steps carried out follow ing the conclusions of thepilot study, describe the new study's design, analyze the new findings, and present the final conclusionsregarding the engine and th e evaluation method based on the non-inferiority principle."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Data detailed on Artificial Intelligen ce have been presented. According to news reportingfrom Gadong, Brunei, by News Rx editors, the research stated, "Governance of artificial intelligence(AI) has not achieved global participation. The primary state-led instrument focusing sp ecifically on theglobal governance of artificial intelligence is the Global Par tnership on Artificial Intelligence (GPAI)."The news correspondents obtained a quote from the research from the University o f Brunei Darussalam,"Although GPAI aims for broad international participation, the only GPAI member from Southeast Asia isSingapore. GPAI's imbalanced global participation, restrictive membership process, and limited translationsare pote ntial barriers to Southeast Asian participation. However, a comparative policy a nalysis suggeststhat GPAI members and nonmembers in Southeast Asia have AI gove rnance policies which are largely compatible, despite key differences. This stud y uses quantitative topic-modeling and qualitative contentanalysis to compare t he AI governance policies of Indonesia, Malaysia, Thailand, and Vietnam withthe policies of Australia and Singapore, as reference GPAI members. The policies of GPAI, Australia,and Singapore emphasise the function of ethics while the polic ies of Indonesia, Malaysia, Thailand, andVietnam emphasise the function of huma n capital development. State-led, global AI governance effortscould attract mor e Southeast Asian participation by further emphasising human capital development anddeemphasising the function of ethics."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Data detailed on artificial intelligen ce have been presented. According to news reportingout of Budapest, Hungary, by NewsRx editors, research stated, "This study explores the intersection of personality, attention and task performance in traditional 2D and immersive virtual r eality (VR) environments."Funders for this research include European Union.Our news editors obtained a quote from the research from ELTE Eotvos Lorand Univ ersity: "A visualsearch task was developed that required participants to find a nomalous images embedded in normalbackground images in 3D space. Experiments we re conducted with 30 subjects who performed the taskin 2D and VR environments w hile their eye movements were tracked. Following an exploratory correlationanal ysis, we applied machine learning techniques to investigate the predictive power of gaze features onhuman data derived from different data collection methods. Our proposed methodology consists of apipeline of steps for extracting fixation and saccade features from raw gaze data and training machinelearning models to classify the Big Five personality traits and attention-related processing speed /accuracylevels computed from the Group Bourdon test."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Research findings on Robotics are disc ussed in a new report. According to newsreporting from Shenzhen, People's Repub lic of China, by NewsRx journalists, research stated, "Robotperson following (R PF) is a crucial capability in human-robot interaction (HRI) applications, allow inga robot to persistently follow a designated person. In practical RPF scenari os, the person can often beoccluded by other objects or people."Financial supporters for this research include National Natural Science Foundati on of China (NSFC),Pearl River Talent Recruitment Program, Shenzhen Key Laborat ory of Robotics and Computer Vision,Open Projects Program of State Key Laborato ry of Multimodal Artificial Intelligence Systems.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Research findings on robotics and mech atronics are discussed in a new report. Accordingto news reporting from Kanagaw a, Japan, by NewsRx journalists, research stated, "This study investigatesa met hod for generating obstacle avoidance trajectories for arbitrary convex polyhedr ons."Funders for this research include Japan Society For The Promotion of Science.The news editors obtained a quote from the research from National Defense Academ y of Japan:"We propose a formulation that converts discrete conditions into con tinuous equation forms to avoidconvex polyhedron obstacles. The condition that the evaluation point be located outside of the convexpolyhedron can be transfor med into a constraint in the continuous equation form and incorporated intothe optimization calculation to generate avoidance trajectories."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-A new study on Robotics is now availab le. According to news reporting from Verona,Italy, by NewsRx journalists, resea rch stated, "Accurate state estimation plays a critical role in variousapplicat ions, such as tracking, regulation, and fault detection in robotic and mechanica l systems. Typically,the Kalman-Bucy filter is used as a linear state observer for this purpose."The news correspondents obtained a quote from the research from the University o f Verona, "However,real-world robots often exhibit complex behavior, characteri zed by a combination of dynamics, makingit essential to employ hybrid filters. In this context, the Switching Kalman filter stands out as a wellestablishedso lution. In this article we aim to generalize the Brownian-Markov Stochastic Mode l, a hybriddynamic model for differential-drive wheeled mobile robots, to the c ase of a mobile robot whose centerof mass is not aligned to the wheels axle mid dle point, and to design a geometric hybrid state estimatorby exploiting the Li e groups theory. The Brownian-Markov Stochastic Model features two modes: ‘grip'and ‘slip'. These modes correspond to ideal grip and lateral slippage, with tra nsitions governed by astate-dependent Markov chain."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-New study results on artificial intell igence have been published. According to newsreporting originating from Nationa l Pingtung University of Science and Technology by NewsRx correspondents,resear ch stated, "Although per capita beef consumption in Indonesia remains relatively low, thedemand for beef has increased significantly over the past three decade s."The news correspondents obtained a quote from the research from National Pingtun g University ofScience and Technology: "With domestic production unable to keep pace with this growing demand, thecountry has resorted to imports from other c ountries. This study aims to predict beef consumers andidentify their character istics in Indonesia using various algorithms combined with resampling techniques tohandle an imbalanced dataset. A total of 33,361 observations were collected from the National Socioeconomicand Expenditure Survey conducted in 2021. Based on criteria of precision, sensitivity and F-score,oversampling produces higher accuracy than undersampling and no sampling. Among the six classifiersused to p redict beef consumption in Indonesia, random forest and support vector machine o utperformedothers. Income level is identified as the most powerful factor for p redicting beef consumption, followed byculture, house size, education level, ag e and consumption of poultry meat."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Researchers detail new data in Robotic s. According to news reporting originatingfrom Minneapolis, Minnesota, by NewsR x correspondents, research stated, "Technologies that can recordneural activity at cellular resolution at multiple spatial and temporal scales are typically mu ch larger thanthe animals that are being recorded from and are thus limited to recording from head-fixed subjects. Herewe have engineered robotic neural recor ding devices-'cranial exoskeletons'-that assist mice in maneuveringrecording he adstages that are orders of magnitude larger and heavier than the mice, while th ey navigatephysical behavioral environments."Financial supporters for this research include U.S. Department of Health & Human Services | NIH |National Institute of Neurological Disorders and Stroke ( NINDS), University of Minnesota Mechanical EngineeringDepartment, Minnesota's D iscovery, Research, and InnoVation Economy (MnDRIVE) Robotics,sensors, and adva nced manufacturing in Minnesota, McKnight Foundation, Minnesota Robotics Institute, National Institutes of Health, BRAIN Initiative grants.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews-Researchers detail new data in robotics. Accordin g to news reporting from Russian State AgrarianUniversity - Moscow Timiryazev A gricultural Academy by NewsRx journalists, research stated, "Withinthe project of developing an automatic feed wagon, the initial task is to determine its over all parameters,which directly depend on the wagon volume. (Research purpose) To simulate the automatic feed wagonoperation in order to determine the optimal v olume ensuring the versatility of its use in cattle cowshedsaccommodating diffe rent numbers of animals, and practicing different feeding frequency."The news journalists obtained a quote from the research from Russian State Agrar ian University -Moscow Timiryazev Agricultural Academy: "(Materials and methods ) The solution to the problem isbased on the calculation of the feeding time ta ken by the automatic feed wagon. The time must notexceed the limit values estab lished by zootechnical standards. To calculate the feeding time taken byan auto matic feed wagon, a graph-theory-based simulation method was used, taking into a ccount theprobabilistic nature of the components of feed mixture distribution t ime balance. The calculations wereperformed in MS Excel. (Results and discussio n) The paper describes the conditions for simulation andconsiders two options f or the automatic feed wagon operation, in particular the option when one robot serves two cowsheds and the other when each cowshed is served by a separate feed wagon. (Conclusions)The second option with a separate automated feed wagon for each cowshed is proved to be more suitable.It has been obtained that in this ca se, the reduced movement length results in a 27.9-36.2 percent increasein produ ctivity of the automatic feed wagon; besides there is no need to install automat ic gates and buildan insulated vestibule to move the robot between the cowsheds ."
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 - Ro botics and Automation have been published.According to news reporting from Zhen jiang, People's Republic of China, by NewsRx journalists, researchstated, "Ster eo matching is a fundamental task in computer vision. Real-time stereo matching has recentlyshown great potential in robotics and autonomous driving applicatio ns."Financial support for this research came from National Natural Science Foundatio n of China (NSFC).The news correspondents obtained a quote from the research from Jiangsu Universi ty, "However, theexisting cost aggregation in real-time stereo matching suffers from accuracy limitations in ill-posed regions.Furthermore, most real-time ste reo matching methods struggle to predict disparity in object details andedge ar eas, resulting in relatively blurred and lacking detailed disparity maps. To add ress these issues, wepropose a real-time stereo matching architecture called MA -Stereo, which features a multi-scale attentionfusion (MAF) module and an atten tion-based spatial error-aware refinement (ASER) module. The MAFadaptively fuse s context and geometry information through attention mechanism, effectively impr ovingcost aggregation. In addition, the ASER refines the predicted disparity ma p, fully leveraging high-frequencyinformation and spatial evidence to accuratel y predict disparities for sharp edges and thin structures."
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