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    Data from Argonne National Laboratory Update Knowledge in Artificial Intelligenc e (A generative artificial intelligence framework based on a molecular diffusion model for the design of metal-organic frameworks for carbon capture)

    18-19页
    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 from the Argonne N ational Laboratory by NewsRx journalists, research stated, “Metal-organic framew orks (MOFs) exhibit great promise for CO2 capture.” Financial supporters for this research include U.S. Department of Energy; Nation al Science Foundation.

    Korea University Researchers Have Published New Data on Artificial Intelligence (A Novel Scheme for Generating Context-Aware Images Using Generative Artificial Intelligence)

    18-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Seoul, South K orea, by NewsRx editors, research stated, “Humans possess the remarkable capacit y to comprehend narratives presented in text and subsequently conjure associated mental images through their imagination.”

    Studies from Chang'an University Yield New Data on Machine Learning (Enhanced Ro bust Capacity Estimation of Lithium-ion Batteries With Unlabeled Dataset and Sem i-supervised Machine Learning)

    19-20页
    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 Machine Learn ing have been published. According to news reporting originating in Shaanxi, Peo ple’s Republic of China, by NewsRx journalists, research stated, “The capacity e stimation is a crucial task in battery health and safety management. The majorit y existing capacity estimation methods heavily rely on supervised learning with accurately labelled dataset collected at room temperature.”

    Institute of Scientific Instruments of the Czech Academy of Sciences Reports Fin dings in Machine Learning (Timing matters for accurate identification of the epi leptogenic zone)

    20-21页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Brno, Czech Republic, by NewsRx correspondents, research stated, “Interictal biomarkers of t he epileptogenic zone (EZ) and their use in machine learning models open promisi ng avenues for improvement of epilepsy surgery evaluation. Currently, most studi es restrict their analysis to short segments of intracranial EEG (iEEG).”

    Universitas Bina Sarana Informatika Researchers Release New Study Findings on Ar tificial Intelligence (The use of artificial intelligence to improve EFL student s' writing skill)

    21-22页
    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 Jakarta, Indo nesia, by NewsRx editors, the research stated, “This research aims to analyze th e use of artificial intelligence platforms that can be used to convey writing su bjects. This research used a mixed-method design that combines quantitative and qualitative approaches.”

    School of Mechanical and Electrical Engineering Researcher Publishes New Studies and Findings in the Area of Robotics (Adaptive Dynamic Boundary Sliding Mode Co ntrol for Robotic Manipulators under Varying Disturbances)

    22-23页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on robotics is now availab le. According to news originating from Shenzhen, People’s Republic of China, by NewsRx editors, the research stated, “This paper introduces an Adaptive Dynamic Bounded Sliding Mode Control (ADBSMC) method that incorporates a disturbance obs erver to enhance the response characteristics of the robot manipulator while eli minating the reliance on a priori knowledge.”

    Research Results from Arctic University of Norway (UiT) Update Understanding of Machine Learning (A Machine Learning Model for Prediction of Marine Icing)

    23-23页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting out of Narvik, Norway, b y NewsRx editors, research stated, “Marine icing due to freezing sea spray has b een attributed to many safety incidences.” Our news reporters obtained a quote from the research from Arctic University of Norway (UiT): “Prediction of sea spray icing is necessary for operational safety , design optimization, and structural health. In general, lack of detailed full- scale measurements due to the complexity and costs make validation difficult. Th e next best option is that of controlled laboratory experiments. The current stu dy is the first study in the field of sea spray icing that investigates the use of new data science technologies like machine learning and feature engineering f or the prediction of sea spray icing based on data collected from controlled lab oratory experiments. A new prediction model dubbed “Spice” is proposed. Spice is designed “bottom-up” from experimentally collected data, and thus, if the input variables are accurately known, it could be said to be highly accurate within t he tested range compared to existing theoretical models.”

    Bielefeld University Researchers Add New Findings in the Area of Robotics and Ar tificial Intelligence (Commonsense knowledge in cognitive robotics: a systematic literature review)

    24-25页
    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 robotics and artificial intelligence have been published. According to news originating from Bielefeld, Germany, by NewsRx editors, the research stated, “One of the big chal lenges in robotics is the generalization necessary for performing unknown tasks in unknown environments on unknown objects.”

    New Artificial Intelligence Findings from Johns Hopkins University Described (To xaicology - the Evolving Role of Artificial Intelligence In Advancing Toxicology and Modernizing Regulatory Science)

    24-24页
    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 Ar tificial Intelligence. According to news originating from Baltimore, Maryland, b y NewsRx editors, the research stated, “Toxicology has undergone a transformatio n from an observational science to a data-rich discipline ripe for artificial in telligence (AI) integration. The exponential growth in computing power coupled w ith accumulation of large toxicological datasets has created new opportunities t o apply techniques like machine learning and especially deep learning to enhance chemical hazard assessment.”

    New Machine Learning Findings from Wadia Institute of Himalayan Geology Describe d (Machine Learning Assisted Crustal Velocity Proxy: a Case Study Over the Tibet an Plateau and Its Surroundings)

    25-26页
    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 Machine Learn ing have been published. According to news originating from Uttrakhand, India, b y NewsRx correspondents, research stated, “So far only a few individuals have at tempted to use Machine Learning approaches to anticipate GPS site velocity for c rustal deformation research. Generally, a dense network of Continuously Operatin g Reference Station (CORS) is employed to monitor crustal deformation continuously.”