查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news originating from Macau, People’ s Republic of China, by NewsRx correspondents, research stated, “Model stealing attacks involve creating copies of machine learning models that have similar fun ctionalities to the original model without proper authorization. Such attacks ra ise significant concerns about the intellectual property of the machine learning models.” Financial support for this research came from Australian Research Council.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Machine Learning is now available. According to news originating from Bhubaneswar, India, by NewsRx correspondents , research stated, “Floods are becoming more widely acknowledged as a common occ urrence of nature’s dangers on a global scale. Although forecasting models prima rily focus on timely warnings, models aimed at evaluating dangerous zones can pl ay a vital role in shaping policies for adaptation, mitigation, and reducing the risk of disasters.” Financial support for this research came from Odisha State Higher Education Coun cil.
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 Zhengzhou, Peop le’s Republic of China, by NewsRx journalists, research stated, “Accurate land-s ea classification of ATL03 datasets is the prerequisite for signal photons ident ification and higherlevel data production. Current photon classification method s are mainly based on physical models and machine learning methods.” Funders for this research include National Natural Science Foundation of China; Ministry of Science And Technology of The People’s Republic of China; National K ey Research And Development Program of China.
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 the University of Que ensland by NewsRx editors, research stated, “The integration of machine learning (ML), functioning as the core of various artificial intelligence (AI)-enabled s ystems in organizations, comes with the assertion that ML models offer automated decisions or assist domain experts in refining their decision-making.” Our news journalists obtained a quote from the research from University of Queen sland: “The current research presents substantial evidence of ML’s positive impa ct on business and organizational performance. Nonetheless, there is a limited u nderstanding of how decision-makers participate in the process of generating ML- driven insights and enhancing their comprehension of business environments throu gh ML outcomes. To enhance this engagement and understanding, this study examine s the interactive process between decision-makers and ML experts as they strive to comprehend an environment and gather business insights for decision-making. I t builds upon Weick’s sensemaking model by integrating ML’s pivotal role. By con ducting interviews with 31 ML experts and ML end-users, we explore the dimension s of sensemaking in the context of ML utilization for decision-making. Consequen tly, this study proposes a process model which advances the organizational ML re search by operationalizing Weick’s work into a structured ML-driven sensemaking model.”
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 from Mannheim, Germany , by NewsRx journalists, research stated, “Artificial intelligence and machine l earning are key technologies for purchasing organizations worldwide and their us age is still in a nascent stage. This systematic review offers an overview of th e state-of-the-art literature and practice, where 46 works meeting the inclusion criteria were interactively classified in 11 use case clusters.” The news correspondents obtained a quote from the research from the University o f Mannheim, “The work follows the content analysis approach where the material e valuation was empirically enriched with 20 interviews to assess the cluster’s bu siness value and ease of implementation through triangulation. This is the first systematic review in the area of operations and supply chain management utilizi ng the Computer Classification System as the de facto standard in computer scien ce for clarity in the terminology of these emerging technologies. In matching th e literature search with the interview results, a mismatch was found between the reviewed literature and the expert’s assessments. For instance, the cluster cos t analysis deserves higher research attention as well as supplier sustainability . Moreover, there seems to be a gap in the operational area, which many believe to be first considered due to data availability.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news originating from Vancouver, Canada, by NewsRx correspondents, research stated, “People are increasingly turning to soc ial media and online forums like Reddit to cope with work-related concerns. Prev ious research suggests that how others respond can be an important determinant o f the sharer’s affective and well-being outcomes.” Financial support for this research came from Social Sciences and Humanities Res earch Council of Canada (SSHRC).
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 trans lation have been published. According to news reporting out of Shenyang, People’ s Republic of China, by NewsRx editors, research stated, “Machine translation-th e automatic transformation of one natural language (source language) into anothe r (target language) through computational means-occupies a central role in compu tational linguistics and stands as a cornerstone of research within the field of Natural Language Processing (NLP).” Our news editors obtained a quote from the research from Shenyang Ligong Univers ity: “In recent years, the prominence of Neural Machine Translation (NMT) has gr own exponentially, offering an advanced framework for machine translation resear ch. It is noted for its superior translation performance, especially when tackli ng the challenges posed by low-resource language pairs that suffer from a limite d corpus of data resources. This article offers an exhaustive exploration of the historical trajectory and advancements in NMT, accompanied by an analysis of th e underlying foundational concepts. It subsequently provides a concise demarcati on of the unique characteristics associated with low-resource languages and pres ents a succinct review of pertinent translation models and their applications, s pecifically within the context of languages with low-resources.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on artificial intelligence are discussed in a new report. According to news reporting originating from Buchares t, Romania, by NewsRx correspondents, research stated, “Conventional structural design methodologies often utilize elastic analysis techniques, such as the equi valent static force method and the response spectrum method.” Financial supporters for this research include National University of Science An d Technology; Aosr. Our news editors obtained a quote from the research from Politehnica University of Bucharest: “While these methods are known for their simplicity and computatio nal efficiency, they prove inadequate in capturing the extent of structural dama ge caused by seismic forces. Additionally, employing nonlinear dynamic analysis to estimate structural damage represents a challenging and intricate task, posin g difficulties for many structural designers. Consequently, the objective of thi s paper is to present an innovative methodology for evaluating seismic structura l damage of moment-resisting frame structures. This involves the utilization of machine learning algorithms, which have been trained and tested on a large data set generated using a newly developed and numerically efficient simulation proce dure.”
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 ro botics. According to news reporting from Tsinghua University by NewsRx journalis ts, research stated, “Dielectric elastomer actuators (DEAs) with large actuation strain and high energy density are highly desirable for actuating soft robots.” Funders for this research include National Natural Science Foundation of China.
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 ro botics. According to news reporting from Coimbatore, India, by NewsRx journalist s, research stated, “This study investigates the field of the Internet of Roboti c Things (IoRT) and its capacity to transform the functioning of mobile context and robots’ awareness systems.” Our news editors obtained a quote from the research from Sri Eshwar College of E ngineering: “IoRT facilitates autonomous operations in smart objects and devices via the use of data analytics technologies, intelligent data processing tools, deep reinforcement learning, and edge computing techniques. This article examine s the use of sensor networks, cloud robotics, machine learning algorithms, and c ollaborative context-aware robotic networks for the purpose of enhancing job per formance, decision-making skills, and operational efficiency in diverse industri al and collaborative settings. The research also investigates the incorporation of route planning tools and motion, cognitive decision-making processes, and sen sor data to improve the efficiency of robotic systems in tasks involving object handling.”
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