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    Data on Artificial Intelligence Detailed by Researchers at Ondokuz Mayis Univers ity (Refik Anadol’s AI-Based Digital Art and Its Intellectual Connotations)

    95-95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 reporting out of Ondokuz Mayis Universi ty by NewsRx editors, research stated, “This article delves into the digital art produced by the internationally renowned Turkish artist Refik Anadol and his te am, emerging at the intersection of diverse disciplines such as mathematics, phy sics, computer science, and aesthetics, within the context of its intellectual c onnotations.” The news reporters obtained a quote from the research from Ondokuz Mayis Univers ity: “This qualitative study encompasses 26 projects featured on the Refik Anado l Studio’s website. In addition to the projects, we utilize as data sources the videos, visuals and texts that are available on the website, Anadol’s social med ia posts, audience comments, interviews, academic articles, and news and critiqu es related to his works. We analyze the works in the context of the artistic cre ation process, the nature of the technological collaboration, the relationship e stablished with memory, time, space and audience, particularly in the context of the meanings they signify, and we assess the data we obtain along with their ph ilosophical connections. In short, Anadol transforms public data such as images, sounds, and social media posts that constitute collective memory into art with the aid of digital technology capabilities, especially artificial intelligence, creating in these works molecular, fluid, transient intermediate spaces by super imposing different temporal and spatial layers, images, and realities. Through a rt, he opens up for discussion questions such as what is the position of the art ist in the age of artificial intelligence; how art can help us understand the re lationship between the virtual and the real; and what it means to experience mem ory in the digital age.”

    Study Findings on Machine Learning Published by Researchers at Universiti Teknol ogi PETRONAS (Machine Learning-Optimized Wearable Antenna for LoRa Localization)

    96-96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 artificial intelligence is now available. According to news originating from Perak, Malaysia, by NewsRx editors, the research stated, “This paper presents the design and implementatio n of a compact, wearable, printed monopole antenna for Long-Range (LoRa) locatio n tracking applications, covering the 915 MHz and 923 MHz LoRa bands. Fabricated on a Rogers Duroid RO3003TM substrate, the antenna integrates meandered monopol es to enable miniaturization, alongside a matching stub and a partial ground pla ne for enhanced impedance matching and performance efficiency.” Funders for this research include Telecom Malaysia And Multimedia University; Un iversiti Teknologi Petronas, Malaysia’s Yayasan Universiti Teknologi Petronas-pr ototype Research Grant; Ministry of Higher Education, Malaysia, Through The Univ ersiti Teknologi Malaysia; Centre of Graduate Studies At Universiti Teknologi Pe tronas Through The Petroleum Technology Development Fund.

    Technical University of Denmark (DTU) Researcher Furthers Understanding of Machi ne Learning (Federated In-Network Machine Learning for Privacy-Preserving IoT Tr affic Analysis)

    97-97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 out of Kongens Lyngby, Denmark, by NewsRx editors, research stated, “The expanding use of IoT has driven machine learning (ML) based traffic analysis.” The news reporters obtained a quote from the research from Technical University of Denmark (DTU): “5G networks’ standards, requiring low-latency communications for time-critical services, pose new challenges to traffic analysis. They necess itate fast analysis and response, preventing service disruption or security impa ct on network infrastructure. Distributed intelligence on IoT edge has been stud ied to analyze traffic, but introduces delays and raises privacy concerns. Feder ated learning can address privacy concerns, but does not meet latency requiremen ts. In this paper, we propose FLIP4: an efficient federated learning-based frame work for in-network traffic analysis. Our solution introduces a lightweight fede rated tree-based model, offloaded and running within network devices.”

    Report Summarizes Robotics Study Findings from School of Management (Exploring t he Impacts of Intention Towards Human-robot Collaboration On Frontline Hotel Emp loyees’ Positive Behavior: an Integrative Model)

    98-98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 have been published. According to news reporting out of Heilongjiang, People’s Repub lic of China, by NewsRx editors, research stated, “This research aims to explain and predict frontline hotel employees’ intention towards human-robot collaborat ion (HRC) and their subsequent positive behaviors based on theory of planned beh avior and job demands-resources (JD-R) model. The moderating role of perceived b ehavioral control towards HRC were also tested.” Funders for this research include Natural Science Foundation of Heilongjiang Pro vince, National Natural Science Foundation of China (NSFC), Fundamental Research Funds for the Central Universities in Harbin Institute of Technology.

    Researchers from Florida State University Report Findings in Artificial Intellig ence (Seeking To Support Preservice Teachers’ Responsive Teaching: Leveraging Ar tificial Intelligence-supported Virtual Simulation)

    99-99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 from Tallahassee, Fl orida, by NewsRx journalists, research stated, “Preparing preservice teachers (P STs) to be able to notice, interpret, respond to and orchestrate student ideas-t he core practices of responsive teaching-is a key goal for contemporary science and mathematics teacher education. This mixedmethods study, employing a virtual reality (VR)-supported simulation integrated with artificial intelligence (AI)- powered virtual students, explored the frequent patterns of PSTs’ talk moves as they attempted to orchestrate a responsive discussion, as well as the affordance s and challenges of leveraging AI-supported virtual simulation to enhance PSTs’ responsive teaching skills.” Financial support for this research came from National Science Foundation (NSF).

    University of Modena and Reggio Emilia Reports Findings in Artificial Intelligen ce (Galileo-an Artificial Intelligence tool for evaluating pre-implantation kidn ey biopsies)

    100-101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 report. According to news reporting originating in Modena, Italy, by NewsRx journalists, research stated, “Pre-transplant procurement biop sy interpretation is challenging, also because of the low number of renal pathol ogy experts. Artificial intelligence (AI) can assist by aiding pathologists with kidney donor biopsy assessment.” Financial supporters for this research include Ministero della Salute, Universit a degli Studi di Milano - Bicocca.

    Data on Artificial Intelligence Detailed by Researchers at AmirKabir University of Technology (Slope stability analysis of the open-pit walls using artificial i ntelligence)

    100-100页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting out of Tehran, Iran, by News Rx editors, research stated, “The slope stability analysis is recognized as one of the most significant issues in rock mechanics engineering.” The news editors obtained a quote from the research from AmirKabir University of Technology: “It plays a fundamental role in the design of various rock and soil structures, including mining slopes, roads, and tunnels. To date, various metho ds have been proposed to address the issue of stability, including limit equilib rium methods, numerical methods, and artificial intelligence techniques. In the present study, the stability analysis of mine wall slopes has been conducted usi ng a neuro-fuzzy integrated approach (ANFIS). For this purpose, utilizing data f rom the Choghart iron mine, two neuro-fuzzy networks were developed to analyze t he safety and stability of circular failures under static loading conditions. In the circular failure model, six parameters were identified as the most signific ant inputs, with the safety factor (SF) and stability (S) state as outputs, unde r two different scenarios for analysis. The results obtained indicate that the s tability and safety analysis networks possess low error and high correlation, su ch that the average error for the safety factor and stability was 0.05 and 0.013 , respectively, demonstrating the network’s high generalization capability.”

    Studies from China University of Mining and Technology Add New Findings in the A rea of Robotics (An Inspection Robot-based Health Monitoring Method for Monorail Crane Tracks In Underground Coal Mines)

    102-103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 reporting originating from Xuzhou, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “Monorail crane track plays an i mportant role in the auxiliary transportation system of coal mines. However, the current track defects mainly rely on manual inspection.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Natural Science Foundation of Jiangsu Province, Jiangsu Outs tanding Postdoctoral Program, China Postdoctoral Science Foundation, Project Fun ds of the Priority Academic Program Development of Jiangsu Higher Education Inst itutions (PAPD).

    Research from University of Ljubljana in the Area of Robotics Published [Intra-rater and inter-rater reliability of robotic arthrometer DYNEELAX®]

    103-103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 robotics is the subjec t of a new report. According to news reporting out of the University of Ljubljan a by NewsRx editors, research stated, “ABSTRACT The purpose of our study was to test the intra-rater and inter-rater reliability of the DYNEELAX® arthrometer in healthy subjects.” The news editors obtained a quote from the research from University of Ljubljana : “Since rotational laxity will be measured for the first time in humans, indica tions for normative values will also be presented. Knee anterior laxity and rota tional laxity using a DYNEELAX® arthrometer were assessed in 73 subjects (39 fem ales and 34 males). An intraclass correlation coefficient was calculated to eval uate the intrarater and inter-rater reliability of the DYNEELAX®. An intraclass correlation coefficient for intra-rater reliability ranges from 0.631 (95% confidence interval; [CI]: 0.47-0.75) to 0 .699 (95% CI: 0.56-0.80) and from 0.916 (95% CI: 0.8 7-0.95) to 0.94 (95% CI: 0.91-0.96) for anterior knee laxity and r otational knee laxity, respectively. An intraclass correlation coefficient for i nter-rater reliability ranges from 0.578 (95 % CI: 0.40-0.71) to 0. 646 (95% CI: 0.44-0.78) and from 0.822 (95% CI: 0.57 -0.91) to 0.933 (95% CI: 0.89-0.96) for anterior knee laxity and r otational knee laxity, respectively.”

    Researcher’s Work from Universidad Autonoma de Yucatan Focuses on Machine Learni ng (Geo-Sensing-Based Analysis of Urban Heat Island in the Metropolitan Area of Merida, Mexico)

    104-104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 originating from Merida, Mex ico, by NewsRx correspondents, research stated, “Urban Heat Islands are a major environmental and public health concern, causing temperature increase in urban a reas.” Our news journalists obtained a quote from the research from Universidad Autonom a de Yucatan: “This study used satellite imagery and machine learning to analyze the spatial and temporal patterns of land surface temperature distribution in t he Metropolitan Area of Merida (MAM), Mexico, from 2001 to 2021. The results sho w that land surface temperature has increased in the MAM over the study period, while the urban footprint has expanded. The study also found a high correlation (r> 0.8) between changes in land surface temperature and land cover classes (urbanization/deforestation).”