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    New Computational Intelligence Study Results Reported from University of Connect icut (Gleeble-based Johnson-cook Parametric Identification of Aisi 9310 Steel Em powered By Computational Intelligence)

    76-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Computational Intelli gence have been presented. According tonews reporting out of Storrs, Connecticu t, by NewsRx editors, research stated, “This research aims toestablish a system atic framework for parametric identification of materials undergoing high temper aturesand high strain rates. While advanced testing equipment, such as the Glee ble physical simulator, canproduce controlled measurements of specimens under v arious conditions, significant challenges remain indetermining the parameters o f constitutive relations.”

    Research from Walter Sisulu University Broadens Understanding of Artificial Inte lligence (The role of artificial intelligence in decolonising academic writing f or inclusive knowledge production)

    77-78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 artificial in telligence have been published. According to newsoriginating from Walter Sisulu University by NewsRx correspondents, research stated, “This conceptualarticle delves into the integration of Artificial Intelligence (AI) in academia, focusin g on its potential todecolonise academic writing for inclusive knowledge produc tion. The paper begins with an overview ofdecolonisation in academic discourse and introduces AI’s emerging role in this field.”

    Data on Artificial Intelligence Described by a Researcher at Department of Indus trial Engineering (Monitoring and Interpretation of Process Variability Generate d from the Integration of the Multivariate Cumulative Sum Control Chart and …)

    78-79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 reportingoriginating from Guanajuato , Mexico, by NewsRx correspondents, research stated, “Variability in manufacturing processes must be properly monitored and controlled to avoid incurring qualit y problems;otherwise, the probability of manufacturing defective products incre ases, and, consequently, productioncosts rise.”

    Data on Artificial Intelligence Reported by Michael Ball and Colleagues (Strateg ies for integrating artificial intelligence into mammography screening programme s: a retrospective simulation analysis)

    79-80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 Intelligenc e is the subject of a report. According to news reportingfrom Berlin, Germany, by NewsRx journalists, research stated, “Integrating artificial intelligence (AI) into mammography screening can support radiologists and improve programme metr ics, yet the potentialof different strategies for integrating the technology re mains understudied. We compared programme-levelperformance metrics of seven AI integration strategies.”

    Researchers from Shanghai University of Finance and Economics Provide Details of New Studies and Findings in the Area of Machine Learning (New Model of Utility Analysis and Performance Prediction In Crowdfunding: a Perspective of …)

    80-81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 Ma chine Learning. According to news reportingoriginating in Shanghai, People’s Re public of China, by NewsRx journalists, research stated, “A new modelof utility analysis and performance prediction in crowdfunding is proposed in this paper w ith consideringbacker’s behavior-related decision. To establish a connection be tween the backer’s behavior- relateddecision and crowdfunding performance, the proposed model includes a modeling analysis and an empiricalanalysis.”

    New Findings from Nanjing Normal University Describe Advances in Machine Learnin g (A Machine Learning-assisted Study of the Formation of Oxygen Vacancies In Ana tase Titanium Dioxide)

    81-82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 Machine Learn ing have been published. According tonews reporting out of Nanjing, People’s Re public of China, by NewsRx editors, research stated, “Defectengineering of semi conductor photocatalysts is critical in reducing the reaction barriers. The gene ration ofsurface oxygen vacancies allows substantial tuning of the electronic s tructure of anatase titanium dioxide(TiO2), but disclosing the vacancy formatio n at the atomic level remains complex or time-consuming.”

    Tianjin Tianshi College Reports Findings in Machine Learning (Thyroid Hormone Bi omonitoring: A Review on Their Metabolism and Machine-Learning Based Analysis on Effects of Endocrine Disrupting Chemicals)

    82-83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 Tianjin, People’s Republ ic of China, by NewsRx journalists, research stated, “The thyroid isan essentia l endocrine organ in human body, and thyroid hormones (THs) are pivotal signalin g moleculesand mediators in various physiological processes. THs, particularly in their free form, play a critical role inregulating body temperature and in t he metabolism of lipid and glucose, making the maintenance of THlevels crucial for human health.”

    Findings from Johannes Kepler University in the Area of Artificial Intelligence Reported (Moral Reasoning In a Digital Age: Blaming Artificial Intelligence for Incorrect High-risk Decisions)

    83-84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 reporting originatingin Linz, Austria, by NewsRx journalists, research stated, “The increasing involvement of Artificial Intelligence (AI) in moral decision situations raises the possibility of users at tributing blame to AI-based systemsfor negative outcomes. In two experimental s tudies with a total of \documentclass[12pt]{minimal} usep ackage{amsmath} \usepackage{ wasysym} \usepackage{amsfonts} \ usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \ usepackage{upgreek} \setlength{ \oddsidemargin}{-69pt} begin{document}$$N = 911$ $\end{document} participan ts, we explored the attribution of blame andunderlying moral reasoning.”

    Northern Jiangsu People’s Hospital Reports Findings in Cancer Detection (Early c olorectal cancer detection: a serum analysis platform combining SERS and machine learning)

    84-84页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Cancer Dete ction is the subject of a report. Accordingto news reporting out of Yangzhou, P eople’s Republic of China, by NewsRx editors, research stated,“Colorectal cance r (CRC) is one of the deadliest malignancies globally, with high incidence and m ortalityrates. Early detection is crucial for improving treatment success rates and patient survival.”

    Report Summarizes Machine Learning Study Findings from Carnegie Mellon Universit y (Functional Optimal Transport: Regularized Map Estimation and Domain Adaptatio n for Functional Data)

    85-85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 Machine Learning. According to news originating fromPittsburgh, Pennsylvania, by NewsR x correspondents, research stated, “We introduce a formulation ofregularized op timal transport problem for distributions on function spaces, where the stochast ic mapbetween functional domains can be approximated in terms of an (infinite-d imensional) Hilbert-Schmidtoperator mapping a Hilbert space of functions to ano ther. For numerous machine learning applications,data can be naturally viewed a s samples drawn from spaces of functions, such as curves and surfaces, inhigh d imensions.”