首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Data on Machine Learning Discussed by Researchers at Chongqing Jiaotong Universi ty (Machine-learning-aided Shear-capacity Solution of Rc Girders With Web Stirru ps Based On the Modified Compression Field Theory)

    83-84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 from Chongqing, People's Republic of China, by NewsRx correspondents, research stated, "It is w idely recognized that critical crack angle theta is a pre-requisite to calculate the shear capacity of RC elements in traditional modified compression field the ory (MCFT), and it is often determined by an iterative calculation or by presupp osing an empirical value. This study proposes a straightforward solution of crit ical crack angle aided by machine learning."

    Data on Artificial Intelligence Reported by Seydou Golo Barro and Colleagues (Ar tificial Intelligence System for Automated Breast Cancer Detection in Pathology in Burkina Faso: Methodology Overview)

    85-86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 originating from Bobo Dioulasso, Burkina Faso, by NewsRx correspondents, research stated, "The introduction of a rtificial intelligence (AI) in breast cancer diagnosis in Burkina Faso represent s a significant advancement in the field of healthcare. Faced with the public he alth issue posed by breast cancer, this study focuses on the use of AI to improv e early and accurate detection of this disease from histopathological images."

    Research Data from Faculty of Engineering Update Understanding of Symbolic Compu tation [Multiple rogue wave, double-periodic soliton and breather wave solutions for a generalized breaking soliton system in (3 + 1)-dimensi ons]

    85-85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 symbolic computation i s the subject of a new report. According to news reporting from the Faculty of E ngineering by NewsRx journalists, research stated, "We focused on solitonic phen omena in wave propagation which was extracted from a generalized breaking solito n system in (3 + 1)-dimensions." The news journalists obtained a quote from the research from Faculty of Engineer ing: "The model describes the interaction phenomena between Riemann wave and lon g wave viatwo space variable in nonlinear media. Abundant double-periodic solit on, breather wave and the multiple rogue wave solutions to a generalized breakin g soliton system by the Hirota bilinear form and a mixture of exponentials and t rigonometric functions are presented. Periodic-soliton, breather wave and period ic are studied with the usage of symbolic computation. In addition, the symbolic computation and the applied methods for governing model are investigated. Throu gh three-dimensional graph, density graph, and two-dimensional design using Mapl e, the physical features of double-periodic soliton and breather wave solutions are explained all right. The findings demonstrate the investigated model's broad variety of explicit solutions."

    Sohar University Researchers Provide New Data on Artificial Intelligence (The ne xus of artificial intelligence, frugal innovation and business model innovation to nurture internationalization: A survey of SME's readiness)

    86-87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 artificial intelligence. According to news reporting out of Sohar University by NewsRx editors, research stated, "This study uses transaction cost economics the ory to explain the interplay of artificial intelligence readiness, frugal innovation, and business model innovation to achieve SMEs' internationalization object ives." Financial supporters for this research include Sohar University; Oman Ministry o f Higher Education Research And Innovation. Our news correspondents obtained a quote from the research from Sohar University : "A survey is conducted among SMEs using cluster sampling to determine their re adiness for artificial intelligence adoption. The results are analyzed using Sma rt PLS 4.1 software. The study explored the mediating role of business model inn ovation and artificial intelligence's moderating role in promoting business mode l innovation and SMEs' internationalization, respectively. Finally, the authors performed a necessary conditions analysis to identify the necessary conditions f or SME internationalisation."

    Recent Findings from Harbin Engineering University Has Provided New Information about Robotics (Study On the Performance of Vortex Suction Cup for an Underwater Inspection Robot)

    87-88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 Robotics have been pr esented. According to news reporting out of Harbin, People's Republic of China, by NewsRx editors, research stated, "Using robots to detect Marine structures is very important for maintaining the safety of Marine structures. This paper pres ents an underwater inspection robot specifically engineered for the assessment o f underwater structures." Financial supporters for this research include National Key Research & Development Program of China, Natural Science Foundation of Heilongjiang Provinc e. Our news journalists obtained a quote from the research from Harbin Engineering University, "The integration of reliable adhesion technology is identified as a critical factor in the development of such robots. The vortex suction cup, emplo yed by the robot as its primary adhesion mechanism, outperforms traditional adhe sion methods by enabling non-contact attachment while consuming less power. As t he vortex suction cup is the core component of the underwater inspection robot, this study comprehensively investigates how variations in the vortex suction cup 's structural and operational parameters influence its adhesion performance, mea sured from an energy efficiency ratio perspective. Initially, we delineate the v ortex suction cup's design and succinctly explicate the mechanism underpinning t he generation of negative pressure. Subsequently, we establish an evaluative par ameter, the energy efficiency ratio (eta = F/P), that is, the adsorption force o btained per watt of power consumption of the suction cup, serving as a metric fo r the adhesion performance. By simulating the structural and operational paramet ers of the suction cup, we extract the corresponding adhesion force, torque, and energy efficiency ratio. Lastly, we construct an experimental apparatus to meas ure the suction cup's adhesion force and output torque, validating the veracity of the simulated outcomes. Our simulation and experimental findings indicate that increasing the height of the suction cup housing enhances the adsorption force , however, this simultaneously diminishes its energy efficiency ratio performanc e. Likewise, an increase in the chamber inner radius amplifies the adhesion forc e, and the energy efficiency ratio commensurately increases. Augmenting the radi us of the negative pressure effect board improves the adhesion force, decreases the required torque, and consequently amplifies the energy efficiency ratio. The suction cup's adhesion force and required torque display a direct relationship with its speed, but the energy efficiency ratio is minimally affected by speed. When the distance is close (h <4 mm), changes in the adhes ion gap profoundly impact the suction cup's torque and energy efficiency ratio."

    Researcher from Zhejiang University Describes Findings in Machine Learning (A Li ghtweight Machine-Learning Method for Cloud Removal in Remote Sensing Images Con strained by Conditional Information)

    88-89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 Hangzhou, People's Re public of China, by NewsRx editors, research stated, "Reconstructing cloud-cover ed regions in remote sensing (RS) images holds great promise for continuous grou nd object monitoring." Financial supporters for this research include National Natural Science Foundati on of China. Our news editors obtained a quote from the research from Zhejiang University: "A novel lightweight machine-learning method for cloud removal constrained by cond itional information (SMLP-CR) is proposed. SMLP-CR constructs a multilayer perce ptron with a presingle-connection layer (SMLP) based on multisource conditional information. The method employs multi-scale mean filtering and local neighborhoo d sampling to gain spatial information while also taking into account multi-spec tral and multi-temporal information as well as pixel similarity. Meanwhile, the feature importance from the SMLP provides a selection order for conditional info rmation-homologous images are prioritized over images from the same season as th e restoration image, and images with close temporal distances rank last."

    New Robotics Study Results from Tongji University Described (A Manta Ray-inspire d Fast-swimming Soft Electrohydraulic Robotic Fish)

    89-90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 originating in Shanghai, People's R epublic of China, by NewsRx journalists, research stated, "Underwater soft robot s inspired by marine life have shown great potential in ocean exploration, monit oring, scientific research, etc., due to their excellent safety, compatibility a nd adaptability when interacting with underwater environments. However, most of their soft actuators suffer performance degradation when operating in water, whi ch leads to the limited cruising speed and maneuverability of underwater soft ro bots, especially for the electrically actuated ones." Funders for this research include National Natural Science Foundation of China ( NSFC), Fundamental Research Funds for the Central Universities in China, Researc h Project of State Key Laboratory of Mechanical System and Vibration, Shanghai G aofeng Project for University Academic Program Development.

    New Artificial Intelligence Research from Comenius University Outlined (Informat ion Ethics in Light of Bibliometric Analyses: Discovering a Shift to Ethics of A rtificial Intelligence)

    90-91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 Comenius Univ ersity by NewsRx correspondents, research stated, "The objectives of this study are to analyse the content of publications focused on the area of information et hics and discover patterns, knowledge and thematic trends. The main research que stion is: What is the intellectual and topical structure of the field of information ethics? We apply bibliometric analytical methods, including co-citation ana lysis (41 most cited authors out of 9947), co-word analysis (127 keywords), visu alizations (maps) and analysis of time periods in strategic diagrams." The news correspondents obtained a quote from the research from Comenius Univers ity: "These methods are interpreted with the use of previous content analyses an d results of a Delphi study. The dataset covers publications between 1988 and 20 23 collected from Web of Science using the search term ‘information ethics' in t itles, keywords and abstracts (469 records). The study presents the research bac kground and objectives, related research review, research methods and findings. Results are visualized in maps of topics and trends. We investigate the intellec tual and thematic structure of information ethics, including numbers of publicat ions, main disciplines, the intellectual structure (authors, topics, trends) and identify four time periods (1988-2005, 2006-2012, 2013-2019, 2020-2023) visuali zed by strategic diagrams. The study reveals the multidimensionality and multidi sciplinary dynamic evolution of information ethics. The main trends are the topi cs of ethics of artificial intelligence and algorithms, data ethics, ethics of i nformation literacy, informational privacy and dis/misinformation. We find that information ethics studies are embedded in wider contexts of the information cri sis and design of public digital services. We propose education and information literacy courses related to ethical sensitivity, data ethics and the use of AI t ools."

    Study Data from Suzhou University of Science and Technology Provide New Insights into Artificial Intelligence [Exploring Artificial Intellige nce (Ai) Chatbots Adoption Among Research Scholars Using Unified Theory of Accep tance and Use of ...]

    91-92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 in Jiang su, People's Republic of China, by NewsRx journalists, research stated, "The use of artificial intelligence (AI) tools, such as chatbots, has significantly incr eased in academia and research. The present study seeks to determine the key fac tors influencing chatbot adoption, as well as attempts to validate the unified t heory of acceptance and use of technology (UTAUT) in the context of AI chatbots adoption among research scholars." The news reporters obtained a quote from the research from the Suzhou University of Science and Technology, "The data for this study were collected through purp osive sampling using a cross-sectional survey. The population of the study compr ised research scholars enrolled in three public sector universities in Pakistan. The eight-factor proposed measurement model was estimated using confirmatory fa ctor analysis (CFA) based on 30 valid items. The goodness of fit indices suggest a favourable fit for the model chi 2 = 1.710, DF = 381; p = 0.000; IFI = .902; TLI = 0.886, CFI = 0.900, RMSEA = 0.056. Our research affirms that social influe nce, trust, and facilitating conditions play pivotal roles as primary predictors of behavioural intentions for AI chatbots adoption among scholars. The study su ggests that the perceived risks associated with using AI chatbots due to their p otential misuse can be minimized by effectively implementing AI user guidelines, and developing AI literacy among scholars. Information professionals and ethica l libraries can play an important role in ‘building the bridge' between cutting- edge technology capabilities and information users' needs and rights. The propos ed eight-factor AI chatbots adoption model holds substantial potential in unders tanding the influence of performance expectancy, effort expectancy, social influ ence, trust, perceived risk, and facilitating conditions on behavioural intentio n to AI chatbots adoption."

    First Affiliated Hospital of Zhejiang Chinese Medical University Reports Finding s in Artificial Intelligence (Role of artificial intelligence in Crohn's disease intestinal strictures and fibrosis)

    92-93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 from Hangz hou, People's Republic of China, by NewsRx correspondents, research stated, "Cro hn's disease (CD) is a chronic inflammatory disorder of the gastrointestinal tra ct. Intestinal fibrosis or stricture is one of the most prevalent complications in CD with a high recurrence rate." Financial supporters for this research include Medical Science and Technology Pr oject of Zhejiang Province, Health Commission of Zhejiang Province. Our news editors obtained a quote from the research from the First Affiliated Ho spital of Zhejiang Chinese Medical University, "Manual examination of intestinal fibrosis or stricture by physicians may be biased or inefficient. A rapid devel opment of artificial intelligence (AI) technique in recent years facilitates the detection of existing or possible intestinal fibrosis and stricture in CD throu gh various modalities, including endoscopy, imaging examination, and serological biomarkers."