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    Investigators from University of Vienna Target Robotics (Think Once, Think Again : Exploring the Harm-made Mind Effect Through Dual-process Theory)

    20-20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 from Vienna, Austria, by NewsRx correspondents, research stated, “This paper presents resultsfrom a pre -registered online experiment (N = 317) on the harm-made mind phenomenon (i.e., people’stendency to perceive mind in seemingly mindless agents, such as robots, when they are harmed). Toaddress inconsistent findings on this phenomenon, we study the harm-made mind through a dual-processingperspective.”

    Southern Medical University Reports Findings in Personalized Medicine (Research hotspots and frontiers of machine learning in renal medicine: a bibliometric and visual analysis from 2013 to 2024)

    21-22页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of a report.According to news originating from Guangzhou, People’s Republic of China, by NewsRx correspondents,research s tated, “The kidney, an essential organ of the human body, can suffer pathologica l damage thatcan potentially have serious adverse consequences on the human bod y and even affect life. Furthermore,the majority of kidney-induced illnesses ar e frequently not readily identifiable in their early stages.”

    Study Data from University of York Update Understanding of Robotics (Towards a U nified Framework for Software-Hardware Integration in Evolutionary Robotics)

    22-23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 ro botics. According to news originating fromYork, United Kingdom, by NewsRx edito rs, the research stated, “The discrepancy between simulated andhardware experim ents, the reality gap, is a challenge in evolutionary robotics.”Financial supporters for this research include Ukri-epsrc; The Vrije Universitei t Amsterdam.

    Researchers from Al-Farabi Kazakh National University Publish Research in Artifi cial Intelligence (Development of a Children’s Educational Dictionary for a Low- Resource Language Using AI Tools)

    23-24页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingfrom Almaty, Kazakhstan, by NewsRx journalists, research stated, “Today, various interactive tools or partially available artificial intelligence applications are actively used in educati onal processes to solve multipleproblems for resource-rich languages, such as E nglish, Spanish, French, etc. Unfortunately, the situationis different and more complex for low-resource languages, like Kazakh, Uzbek, Mongolian, and others,due to the lack of qualitative and accessible resources, morphological complexit y, and the semantics ofagglutinative languages.”

    Data on Artificial Intelligence Described by a Researcher at Lanzhou University (A review of load forecasting technology based on artificial intelligence)

    24-24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 artificial intelligence is now available. According to news originatingfrom Lanzhou, People’s Republic of China, by NewsRx editors, the research stated, “Abstract.”Our news journalists obtained a quote from the research from Lanzhou University: “Driven by the ‘dualcarbon’ goals and the construction of new-type power syste ms, the importance of power load forecastingtechnology has become increasingly prominent. Accurate power load forecasting can not only ensure thesafe and stab le operation of the power system, but also promote the efficient use of clean en ergy andreduce carbon emissions. Traditional power load forecasting methods hav e become insufficient in dealingwith the complexity and nonlinear growth of pow er systems, and the development of artificial intelligencetechnology has brough t new possibilities for power load forecasting. Power load forecasting methods based on machine learning and deep learning have gradually become a hot topic of research due to theirpowerful nonlinear mapping capabilities and advantages in processing big data.”

    Researchers from Korea University Describe Findings in Robotics (Wearable Extra Robotic Limb System With a Constant-Orientation Mechanism for the Handling of Co nstruction Material)

    25-25页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in robotics. According to news reporting out ofSeoul, South Korea, by NewsRx edito rs, research stated, “A wearable extra robotic limb (XRL) systemis a wearable r obotic system that directly assists in handling materials and tools, differentia ting it fromexoskeleton robots, which tend to directly support the joints.”

    University of New Haven Researcher Adds New Data to Research in Artificial Intel ligence [Optimizing the Utilization of Generative Artificial Intelligence (AI) in the AEC Industry: ChatGPT Prompt Engineering and Design]

    25-26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 ar tificial intelligence. According to news originatingfrom West Haven, Connecticu t, by NewsRx editors, the research stated, “Generative Artificial Intelligence ( AI) holds significant potential for revolutionizing the Architecture, Engineerin g, and Construction (AEC)industry by automating complex tasks such as construct ion scheduling, hazard recognition, resourceleveling, information retrieval fro m BIM, etc.”

    Studies from International Institute of Earthquake Engineering and Seismology Yi eld New Data on Machine Learning (Dynamic Behavior of Rectangular Tanks with Lim ited Freeboard Under Seismic Loads: Experimental, Analytical and Machine Learnin g …)

    26-27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 reporting outof Tehran, Iran, by NewsRx edi tors, research stated, “One of the most common types of fluid storagetanks are rectangular concrete tanks placed on the ground.”Our news correspondents obtained a quote from the research from International In stitute of EarthquakeEngineering and Seismology: “Ensuring the seismic performa nce of these tanks is crucial as, besides damageand losses during a crisis, the y can lead to other crises such as fires or toxic material leaks. One pivotalfa ctor influencing the seismic behavior of these tanks is the height of the freebo ard. A comprehensiveunderstanding of how freeboard height impacts the impulsive and convective masses is essential for theeffective design and dynamic analysi s of rectangular tanks. While numerous numerical and experimentalstudies have e xplored this field, the influence of various filling levels, fluid properties, a nd tank geometriesunder seismic loading conditions requires further investigati on. In this study, both an experimental modeland a theoretical model were subje cted to different tank fill levels, tank geometries, and various freeboard heigh ts under the influence of different earthquake records. The results showed that tank height andgeometry significantly affect the changes in impulsive and conve ctive masses.”

    Santa Catarina State University Researcher Updates Knowledge of Machine Learning (Time Series Forecasting of Thermal Systems Dispatch in Legal Amazon Using Mach ine Learning)

    27-28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 tonews reporting originating from Join ville, Brazil, by NewsRx correspondents, research stated, “This paperanalyzes t ime series forecasting methods applied to thermal systems in Brazil, specificall y focusing ondiesel consumption as a key determinant.”

    Study Findings from Northwestern Polytechnical University Advance Knowledge in R obotics (Optimized trajectory tracking control with disturbance resistance for w heeled mobile robot)

    28-29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 robotic s. According to news reporting from Shaanxi,People’s Republic of China, by News Rx journalists, research stated, “When unavoidable disturbances existin practic al applications, the unicycle wheeled mobile robot (WMR) with non-holonomic cons traint ischallenging to be accurately controlled in finite time.”