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    Studies from Xiamen University Reveal New Findings on Machine Translation (Exploring Iterative Dual Domain Adaptation for Neural Machine Translation)

    29-30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 Machine Translation. According to news reportingoriginating from Xiamen, People’s Republic of China, by NewsRx correspondents, research stated, “Domainadaptation for neural machine translation (NMT) has always been a hot research topic in the communityof machine translation. Generally, previous studies focus on the one-pass translation knowledge transferfrom single source domain to a target domain, which, however, is unable to fully exploit domain-sharedtranslation knowledge.”

    Findings from Nanjing University of Science and Technology Update Understanding of Intelligent Transportation Systems (A Multimodal Trajectory Prediction Method for Pedestrian Crossing Considering Pedestrian Motion State)

    30-31页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Transportation - Intelligent Transportation Systems. According tonews reporting originating from Nanjing, People’s Republic of China, by NewsRx correspondents, researchstated, “Predicting pedestrian crossing trajectories has become a primary task in aiding autonomous vehiclesto assess risks in pedestrian-vehicle interactions. As agile participants with changeable behavior, pedestriansare often capable of choosing from multiple possible crossing trajectories.”Funders for this research include National Key R&D Program of China, National Natural ScienceFoundation of China (NSFC).

    University Heart & Vascular Center Hamburg Reports Findings in Robotics (Procedural and one-year outcomes of robotic-assisted versus manual percutaneous coronary intervention)

    31-32页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subject of a report. According to news originating fromHamburg, Germany, by NewsRx correspondents, research stated, “Robotic-assisted percutaneous coronaryintervention (rPCI) has proven to be feasible and safe. Comparative analyses of rPCI versus manual PCI(mPCI) are scarce.”Our news journalists obtained a quote from the research from University Heart & Vascular CenterHamburg, “We aimed to investigate procedural aspects and outcomes of rPCI using the second-generationCorPath GRX Vascular Robotic System compared with mPCI in patients with chronic coronary syndromeand non-ST-segment elevation myocardial infarction acute coronary syndrome. From January to April2021, 70 patients underwent rPCI at the University Heart & Vascular Center Hamburg-Eppendorf and wererecruited into the INTERCATH study. By propensity score matching, a control cohort of 210 patients whounderwent mPCI from 2015-2021 was identified. Co-primary endpoints were one-year all-cause mortalityand major adverse cardiovascular events (MACE) as a composite of cardiovascular death, unplanned targetlesion revascularisation, myocardial infarction, and stroke. The median age of the patients (n=280) was70.7 (25th percentile-75th percentile: 62.0-78.0) years, and 24.6% were female. The Gensini score (28.5[16.2-48.1] vs 28.0 [15.5-47.0]; p=0.78) was comparable between rPCI versus mPCI. During the PCIprocedure, total contrast fluid volume did not differ, whilst longer fluoroscopy times (20.4 min [13.8-27.2]vs 14.4 min [10.4-24.3]; p=0.001) were documented in the rPCI versus mPCI cohort. After 12 months offollow-up, neither all-cause mortality (p=0.22) nor MACE (p=0.25) differed between the groups. rPCI wasassociated with longer fluoroscopy times compared with mPCI, though without increased use of contrastmedium.”

    Research on Machine Learning Detailed by a Researcher at Universite du Quebec a Chicoutimi (From Rocks to Pixels: A Protocol for Reproducible Mineral Imaging and its Applications in Machine Learning)

    32-33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 artificial intelligence. According to news reportingoriginating from Chicoutimi, Canada, by NewsRx correspondents, research stated, “Identifying minerals isessential for geology, mineral exploration, engineering, and environmental sciences.”Funders for this research include Fonds De Recherche Du Quebec - Nature Et Technologies; Ios ServivesGeoscientifiques Inc..

    New Field Robotics Study Findings Have Been Reported from Wuhan University (Four Years of Multimodal Odometry and Mapping On the Rail Vehicles)

    33-34页
    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 Robotics - Field Robotics. According to news reportingout of Wuhan, People’s Republic of China, by NewsRx editors, research stated, “Precise, seamless, andefficient train localization as well as long-term railway environment monitoring is the essential propertytowards reliability, availability, maintainability, and safety engineering for railroad systems. Simultaneouslocalization and mapping is right at the core of solving the two problems concurrently.”Financial supporters for this research include The Joint Foundation for Ministry of Education of China,Joint Foundation for Ministry of Education of China, Key Laboratory of Land Satellite Remote SensingApplication, Ministry of Natural Resources of the People’s Republic of China.

    Recent Research from Swiss Federal Institute of Technology Highlight Findings in Machine Learning (Inverse Design of Nonlinear Mechanical Metamaterials Via Video Denoising Diffusion Models)

    34-35页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting out of Zurich, Switzerland, by NewsRx editors, research stated, “The accelerated inversedesign of complex material properties-such as identifying a material with a given stress-strain responseover a nonlinear deformation path-holds great potential for addressing challenges from soft robotics tobiomedical implants and impact mitigation. Although machine learning models have provided such inversemappings, they are typically restricted to linear target properties such as stiffness.”

    New Robotics Research Has Been Reported by Researchers at Abdullah Gul University (Evolution of Production Spaces: A Historical Review for Projecting Smart Factories)

    35-36页
    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 have been published. According to news originatingfrom Abdullah Gul University by NewsRx correspondents, research stated, “Factories are transforming notonly mechanically and technologically but also architecturally due to emerging developments in the industryand fabrication: This new process, called the Second Machine Age or Industry 4.0, a new model is designedin production by providing the human-machine partnership over a virtual network. It is aimed that themachines used in production and the people participating in different stages of production can work indifferent spaces.”

    New Study Findings from University of Engineering and Technology Illuminate Research in Machine Learning (Machine Learning-Based Gait Phase Detection for Semi-Active Prosthetic Knee)

    36-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligence have been presented. According to news reportingoriginating from Peshawar, Pakistan, by NewsRx correspondents, research stated, “Human knee plays avital role in performing day-to-day activities. For healthy person it is easy to perform locomotion activitiesbut for people with transfemoral amputation, it is very difficult task.”

    Findings on Machine Learning Reported by Investigators at Biotechnology Research Center (Classification of Algerian Olive Oils: Physicochemical Properties, Polyphenols and Fatty Acid Composition Combined With Machine Learning Models)

    37-37页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating from Constantine, Algeria, by NewsRx correspondents, research stated, “Theregulation of olive cultivar and geographical origin is a requirement for the global extra virgin olive oilmarket, due to its significant impact on consumer choice. Our work involves obtaining a promising markerparameter for cultivar and geographical origin that can be used to verify declared labels.”Funders for this research include CRAPC (Centre de Recherche Scientifique et Technique en AnalysesPhysico-Chimiques), Tipaza, DGRSDT (Direction Generale de la Recherche Scientifique et du DeveloppementTechnologique, Algeria).

    Federal University of Health Sciences of Porto Alegre Reports Findings in Artificial Intelligence (Liver volumetric and anatomic assessment in living donor liver transplantation: The role of modern imaging and artificial intelligence)

    38-39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 Intelligence is the subject of a report. According to newsreporting originating in Porto Alegre, Brazil, by NewsRx journalists, research stated, “The shortage ofdeceased donor organs has prompted the development of alternative liver grafts for transplantation. Livingdonorliver transplantation (LDLT) has emerged as a viable option, expanding the donor pool and enablingtimely transplantation with favorable graft function and improved long-term outcomes.”