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    Researchers from Beijing University of Posts and Telecommunications Discuss Find ings in Artificial Intelligence (Gai-iov: Bridging Generative Ai and Vehicular N etworks for Ubiquitous Edge Intelligence)

    38-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Artificial Intell igence are discussed in a new report. According tonews reporting originating in Beijing, People’s Republic of China, by NewsRx journalists, research stated,“T he growth of intelligent vehicular services, like augmented reality (AR) road si mulation, underscoresthe need for rapid, multi-modal content generation. Genera tive artificial intelligence (GAI) models, knownfor their swift production of d iverse artificial intelligence-generated content (AIGC), stand out as a primeso lution.”

    Researchers from Tsinghua University Report on Findings in Robotics (Learning To Assist Different Wearers In Multitasks: Efficient and Individualized Human-in-t he-loop Adaptation Framework for Lower-limb Exoskeleton)

    39-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Robotics are presented i n a new report. According to news reportingoriginating in Beijing, People’s Rep ublic of China, by NewsRx journalists, research stated, “One of thetypical purp oses of using lower-limb exoskeleton robots is to provide assistance to the wear er by supportingtheir weight and augmenting their physical capabilities accordi ng to a given task and human motionintentions. The generalizability of robots a cross different wearers in multiple tasks is important to ensurethat the robot can provide correct and effective assistance in actual implementation.”

    New Robotics Study Findings Has Been Reported by a Researcher at Chongqing Unive rsity (Structural design and motion characteristics analysis of dual-mode active swing arm tracked robot)

    40-41页
    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 newsoriginating from Chongqing, People’s Re public of China, by NewsRx correspondents, research stated,“Focusing on the dem and for complex terrain traversal capability of mobile robots, this paper presen tsa mobile and creep dual-mode tracked robot configuration with capability of a utonomous extrication, inresponse to solving the problem of tracked robots trap ped due to insufficient obstacle-crossing capability.”

    Research on Machine Learning Described by a Researcher at Federal University Rio Grande do Norte (Single-Shot Time-Lapse Target-Oriented Velocity Inversion Usin g Machine Learning)

    41-42页
    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 newsoriginating from Natal, Brazil, by NewsRx correspondents, research stated, “In this study, we used machinelearnin g (ML) to estimate time-lapse velocity variations in a reservoir region using se ismic data.To accomplish this task, we needed an adequate training set that cou ld map seismic data to velocityperturbation.”

    Reports Outline Robotics Study Results from Georgia Institute of Technology (Tru st-preserved Human-robot Shared Autonomy Enabled By Bayesian Relational Event Mo deling)

    42-43页
    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 originating fromAtlanta, Georgia, by NewsRx correspondent s, research stated, “Shared autonomy functions as a flexibleframework that empo wers robots to operate across a spectrum of autonomy levels, allowing for effici enttask execution with minimal human oversight. However, humans might be intimi dated by the autonomousdecision-making capabilities of robots due to perceived risks and a lack of trust.”

    Queensland University of Technology Reports Findings in Regenerative Medicine (T owards industry-ready additive manufacturing: AI-enabled closed-loop control for 3D melt electrowriting)

    43-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Biomedical Engineering - Regenerative Medicine is the subject ofa report. According to news reporting originating in Brisbane, Australia, by NewsRx journalists, researchstated, “Me lt electrowriting (MEW) is an emerging high-resolution 3D printing technology us ed inbiomedical engineering, regenerative medicine, and soft robotics. Its tran sition from academia to industryfaces challenges such as slow experimentation, low printing throughput, poor reproducibility, and userdependentoperation, lar gely due to the nonlinear and multiparametric nature of the MEW process.”

    Boston University Reports Findings in Machine Learning (NiReject: toward automat ed bad channel detection in functional near-infrared spectroscopy)

    44-45页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting from Boston, United States, b y NewsRx journalists, research stated, “The increasing samplesizes and channel densities in functional near-infrared spectroscopy (fNIRS) necessitate precise a nd scalableidentification of signals that do not permit reliable analysis to ex clude them. Despite the relevance ofdetecting these ‘bad channels,’ little is k nown about the behavior of fNIRS detection methods, and thepotential of unsuper vised and semi-supervised machine learning remains unexplored.”

    New Artificial Intelligence Findings from University of Groningen Discussed (Tas ks, Wages and New Technologies)

    44-44页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Artificial Intelligence are presented in a new report. According to newsreporting from Groningen, Nethe rlands, by NewsRx editors, the research stated, “This paper addressesthe role o f technology in shaping worker-level task prices, exploiting within-occupation v ariation usinga unique survey linked to administrative data for over 180,000 Du tch workers between 2014 and 2020.Nonroutine abstract and interactive tasks are related to wage premia, and routine tasks to wage penalties.”The news correspondents obtained a quote from the research from the University o f Groningen,“However, these task returns vary according to exposure to the type s of (new) technology, such ascomputers, robots and artificial intelligence. Ov erall, wages are higher in technology-intensive industries,but newer technologi es target non-routine tasks differently.”

    Report Summarizes Artificial Intelligence Study Findings from Chongqing Medical and Pharmaceutical College (Innovative Practice and Teaching Reform Strategies o f Artificial Intelligence Technology in the Teaching of Higher Vocational Food . ..)

    45-46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 artific ial intelligence. According to news reportingoriginating from Chongqing, People ’s Republic of China, by NewsRx correspondents, research stated,“The modern pra ctice of teaching food safety testing technology at a higher vocational level em phasizesthe cultivation of innovative and application-oriented talents, combini ng theory with practice.”

    Studies from Houston Methodist DeBakey Heart and Vascular Center Have Provided N ew Information about Machine Learning (Development and Validation of a Machine L earning Model To Predict Myocardial Blood Flow and Clinical Outcomes From Patien ts’ ...)

    46-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are pre sented in a new report. According to newsreporting from Houston, Texas, by News Rx journalists, research stated, “We develop a machine learning(ML) model using electrocardiography (ECG) to predict myocardial blood flow reserve (MFR) and as sessits prognostic value for major adverse cardiovascular events (MACEs). Using 3,639 ECG-positron emissiontomography (PET) and 17,649 ECG-single-photon emiss ion computed tomography (SPECT) data pairs,the ML model is trained with a swarm intelligence approach and support vector regression (SVR).”