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    Investigators at Bucharest University of Economics Studies Describe Findings in Artificial Intelligence (Adapting the Competences of the Employed Personnel In the Context of the Integration of Artificial Intelligence In Organisations)

    59-59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 Bucharest, Rom ania, by NewsRx editors, research stated, “Artificial intelligence (AI) has been part of organisational activity for a long time, but until the launch of the Ch atGPT application at the end of 2022, it was not discussed in such a comprehensi ve way. This type of application brought to the public’s attention the concept o f artificial intelligence and the fact that some of the repetitive activities of employees could easily be taken over by such applications.”

    New Machine Learning Study Findings Have Been Reported by Researchers at School of Electronic Science (Machine Learning Driven Global Optimisation Framework for Analog Circuit Design)

    60-60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 Ma chine Learning. According to news originating from Goa, India, by NewsRx corresp ondents, research stated, “We propose a machine learning-driven optimisation fra mework for analog circuit design in this paper. Machine learning based global of fline surrogate models, with the circuit design parameters as the input, are bui lt in the design space for the analog circuits under study and are used to guide the optimisation algorithm towards an optimal circuit design, resulting in fast er convergence and reduced number of spice simulations.”

    Tongji University Researcher Adds New Study Findings to Research in Machine Lear ning (Mapping sense of place as a measurable urban identity: Using street view i mages and machine learning to identify building facade materials)

    61-61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 reporting out of Shanghai, Peo ple’s Republic of China, by NewsRx editors, research stated, “Sense of place, as an intangible perception, is widely recognized as an urban identity and of grea t value in both cross-cultural studies and contemporary urbanism. Building facad e material can effectively capture sense of place due to its combination of phys ical and social attributes.”

    Research on Machine Learning Described by Researchers at University of Waterloo (Model based deep learning method for focused ultrasound pathway scanning)

    62-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on artificial in telligence. According to news originating from the University of Waterloo by New sRx correspondents, research stated, “The primary purpose of high-intensity focu sed ultrasound (HIFU), a non-invasive medical therapy, is to precisely target an d ablate tumors by focusing high-frequency ultrasound from an external power sou rce. A series of ablations must be performed in order to treat a big volume of t umors, as a single ablation can only remove a small amount of tissue.”

    Medical College of Wisconsin Reports Findings in Machine Learning (Comprehensive Clinical Usability-oriented Contour Quality Evaluation for Deep learning Auto-s egmentation: Combining Multiple Quantitative Metrics through Machine Learning)

    63-63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 the subject of a report. According to news originating from Milwaukee, Wisconsin, by NewsRx correspondents, research stated, “The current commonlyused metrics fo r evaluating the quality of auto-segmented contours have limitations and do not always reflect the clinical usefulness of the contours. This work aims to develo p a novel contour quality classification (CQC) method by combining multiple quan titative metrics for clinical usability-oriented contour quality evaluation for deep learning-based auto-segmentation (DLAS).”

    Recent Findings in Machine Learning Described by a Researcher from South China U niversity of Technology (Research on Fatigue Crack Propagation Prediction for Ma rine Structures Based on Automated Machine Learning)

    64-64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 originating from G uangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “In the field of offshore engineering, the prediction of the crack propagation behavior of metals is crucial for assessing the residual strength of structures. ”

    Central South University Reports Findings in Gliomas [Magneti c resonance imaging (MRI)-based intratumoral and peritumoral radiomics for progn osis prediction in glioma patients]

    65-65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 Oncology - Gliomas is the subject of a report. According to news reporting originating in Changsha, Pe ople’s Republic of China, by NewsRx journalists, research stated, “The purpose o f this study was to identify robust radiological features from intratumoral and peritumoral regions, evaluate MRI protocols, and machine learning methods for ov erall survival stratification of glioma patients, and explore the relationship b etween radiological features and the tumour microenvironment. A retrospective an alysis was conducted on 163 glioma patients, divided into a training set (n=113) and a testing set (n=50).”

    Centurion University of Technology and Management Researchers Describe Recent Ad vances in Machine Learning (Revolutionizing Feature Engineering For Robust Ensem ble Machine Learning By Hybridizing Mrmr Insight And Chi2 Independence)

    66-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting originating fr om Bhubaneswar, India, by NewsRx correspondents, research stated, “In the realm of data science, dealing with real-world datasets often presents a formidable ch allenge, primarily due to the sheer volume of features that significantly lack r elevance or may be redundant.”

    Researcher from Zhejiang University of Finance and Economics Describes Findings in Machine Learning (Stock Return Prediction under US Federal Funds Rate Hike Ba sed on Supervised Machine Learning)

    66-67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 reporting originating from Han gzhou, People’s Republic of China, by NewsRx correspondents, research stated, “A s US Federal Reverse Systems has continued to raise federal funds in the past fe w years in order to curb inflation, this has had a huge impact on chinese capita l market.”

    Investigators at South China University of Technology Detail Findings in Machine Translation (Dap-simt: Divergence-based Adaptive Policy for Simultaneous Machin e Translation)

    67-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Translation. According to news reporting originating in Guangzhou, Peopl e’s Republic of China, by NewsRx journalists, research stated, “In the realm of Simultaneous Machine Translation (SiMT), a robust read/write (R/W) policy is ess ential alongside a high-quality translation model. Traditional methods typically employ either a fixed wait-k policy in sync with a wait-k translation model or an adaptive policy that is co-developed with a dedicated translation model.”