查看更多>>摘要：Data detailed on artificial intelligen ce have been presented. According to news reporting out of Taiyuan, People's Rep ublic of China, by NewsRx editors, research stated, "Uneven regional development has long been a focal issue for both academia and policymakers, with numerous s tudies over the past decades actively engaging in discussions on measuring regio nal development disparities. Generally, most existing studies measure the Human Development Index (HDI) using relatively simple indicators, with a focus on nati onal and provincial scales." Funders for this research include National Natural Science Foundation of China; Humanities And Social Science Fund of Ministry of Education of China; Shanxi Pro vincial Applied Basic Research Program. The news reporters obtained a quote from the research from Shanxi University of Finance and Economics: "As a crucial component of regional development, counties can directly reflect the regional characteristics of socio-economic progress. T his study employs a multi-dimensional approach to develop an improved Human Deve lopment Index (improved HDI) system, using machine learning techniques to establ ish the relationship between nighttime light (NTL) data and the improved HDI. Su bsequently, NTL data are utilized to infer the spatial distribution characterist ics of the improved HDI across China's county-level regions. The improved HDI fo r county-level areas in the Ningxia Hui Autonomous Region was validated using a machine learning model, resulting in a Pearson correlation coefficient of 0.93. The adjusted Rsquared value for the linear fit was 0.86, and the residuals were relatively balanced, ensuring the accuracy of the simulations. This study revea ls that 1439 county-level units, representing 50% of all county-le vel units in China, have development levels at or above the medium level. At the provincial and national levels, the improved HDI shows significant clustering, characterized by a multi-center pattern with declining diffusion."
查看更多>>摘要：A new study on Artificial Intelligence is now available. According to news originating from Bari, Italy, by NewsRx cor respondents, research stated, "Currently and in the near future, Smart Cities ar e vital to enhance urban living, address resource challenges, optimize infrastru cture, and harness technology for sustainability, efficiency, and improved quali ty of life in rapidly urbanizing environments. Owing to the high usage of networ ks, sensors, and connected devices, Smart Cities generate a massive amount of da ta." Funders for this research include QUASAR: QUAntum software engineering for Secur e, Affordable, and Reliable systems , under the PRIN 2022 MUR program - EU-NGEU, SERICS under the MUR National Recovery and Resilience Plan - European Union-Nex tGenerationEU, PON Ricerca e Innovazione 2014-202 FSE REACT-EU, Azione IV.4 "Dot torati e contratti di ricerca su tematiche dell'innovazione."
查看更多>>摘要：New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Sydne y, Australia, by NewsRx correspondents, research stated, "Emerging technologies of artificial intelligence (AI) and automated decision-making (ADM) promise to a dvance many industries. Healthcare is a key locus for new developments, where op erational improvements are magnified by the bigger-picture promise of improved c are and outcomes for patients." Financial support for this research came from Australian Research Council. Our news editors obtained a quote from the research from the University of New S outh Wales Sydney, "Forming the zeitgeist of contemporary sociotechnical innovat ion in healthcare, media portrayals of these technologies can shape how they are implemented, experienced and understood across healthcare systems. This article identifies current applications of AI and ADM within Australian healthcare cont exts and analyses how these technologies are being portrayed within news and ind ustry media. It offers a categorisation of leading applications of AI and ADM: m onitoring and tracking, data management and analysis, cloud computing, and robot ics. Discussing how AI and ADM are depicted in relation to health and care pract ices, it examines the sense of promise that is enlivened in these representation s."
查看更多>>摘要：Fresh data on Robotics - Robotics and Automation are presented in a new report. According to news originating from Sin gapore, Singapore, by NewsRx correspondents, research stated, "Operating effecti vely in complex environments while complying with specified constraints is cruci al for the safe and successful deployment of robots that interact with and opera te around people. In this letter, we focus on generating long-horizon trajectori es that adhere to static and temporally-extended constraints/instructions at tes t time." Financial supporters for this research include Agency for Science Technology & Research (A*STAR), Google South Asia & Southeast Asia Award, Natio nal Research Foundation, Singapore, through its Medium Sized Center for Advanced Robotics Technology Innovation.
查看更多>>摘要：Investigators publish new report on ro botics. According to news reporting originating from Beijing, People's Republic of China, by NewsRx correspondents, research stated, "Kinematics is a hot topic in robotic research, serving as a foundational step in the synthesis and analysi s of robots." Funders for this research include National Natural Science Foundation of China; Natural Science Foundation of Tianjin; State Key Laboratory of Robotics And Syst ems. The news journalists obtained a quote from the research from China Agricultural University: "Forward kinematics and inverse kinematics are the prerequisite and foundation for motion control, trajectory planning, dynamic simulation, and prec ision guarantee of robotic manipulators. Both of them depend on the displacement models. Compared with the previous work, finite screw is proven to be the simpl est and nonredundant mathematical tool for displacement description. Thus, it is used for displacement modelling of serial robots in this paper. Firstly, a fini te-screw-based method for formulating displacement model is proposed, which is a pplicable for any serial robot. Secondly, the procedures for forward and inverse kinematics by solving the formulated displacement equation are discussed."
查看更多>>摘要：New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Toronto, Canada , by NewsRx editors, research stated, "Hospitals, due to their complexity and un ique requirements, play a pivotal role in global energy consumption patterns. Th is study conducted a comprehensive literature review, utilizing the PRISMA frame work, of articles that employed machine learning and artificial intelligence tec hniques for predicting energy consumption in hospital buildings." Our news journalists obtained a quote from the research from the Department of A rchitectural Sciences, "Of the 2,157 publications identified, 35 specifically ad dressed this domain and were thoroughly reviewed to establish the state-of-the-a rt and identify research gaps. The review revealed a diverse range of data input s influencing energy prediction, with occupancy and meteorological data emerging as significant predictors. However, many studies did not delve deeply into the implications of their data choices, highlighting gaps in understanding time dyna mics, operational status, and preprocessing methods. Machine learning, especiall y deep learning models like artificial neural networks (ANNs), showed potential in this domain but faced challenges, including interpretability and computationa l demands. Our study emphasized the necessity for detailed daily activity data a nd a broader spectrum of meteorological inputs to enhance prediction accuracy. A dvanced data preprocessing and feature engineering techniques were identified as crucial for improving model performance. The integration of real-time data into Intelligent Energy Management Systems (IEMS) and longterm energy forecasting ar e areas that future research should prioritize for holistic sustainability in he althcare facilities. Additionally, the exploration of hybrid optimization strate gies and enhancing model interpretability were recognized as pivotal for advanci ng the application of AI in this field. By addressing these areas, future resear ch can significantly contribute to developing more efficient and sustainable ene rgy management practices in hospitals."
查看更多>>摘要：Current study results on Robotics - An droids have been published. According to news reporting originating in Shanghai, People's Republic of China, by NewsRx journalists, research stated, "Social rob ots require the ability to understand human emotions and provide affective and b ehavioral responses during human-robot interactions. However, current social rob ots lack empathy capabilities." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Shanghai Municipal Science and Technology Major Project, Fun damental Research Funds for the Central Universities. The news reporters obtained a quote from the research from Shanghai Jiao Tong Un iversity, "In this work, we propose a novel Multi-modal Hierarchical Empathetic (MHE) framework for generating empathetic responses for social robots. MHE is co mposed of a multi-modal fusion and emotion recognition module, an empathetic dia logue generation module, and an expression generation module. By fusing the sens or signals of different modalities, the robot can recognize human emotions and g enerate affective responses. Multiple experiments are conducted on a real robot, Pepper, to evaluate the proposed framework. The experiments are conducted to di scriminate between MHE-generated text and human responses in complete ignorance, and most experimenters agree that MHE can effectively generate human-like and e mpathetic responses. To better evaluate the similarity between human-robot and h uman-human interactions, a period eye movement map (PEM) captured by an eye trac ker is proposed."
查看更多>>摘要：Investigators publish new report on Ma chine Learning - Computational Intelligence. According to news reporting from Ma drid, Spain, by NewsRx journalists, research stated, "Advanced language models d emonstrate remarkable capabilities but remain vulnerable to adversarial word cam ouflage techniques. These techniques introduce visually perceptible language man ipulations while conveying intended meanings to the target audience, potentially altering a model's output." Funders for this research include MCIN/AEI, European Union (EU), Spanish Ministr y of Science and Innovation under FightDIS, Comunidad de Madrid, European Comiss ion under IBERIFIER - Iberian Digital Media Research and Fact-Checking Hub, Univ ersidad Politecnica de Madrid in the actuation line of Programa de Excelencia pa ra el Profesorado Universitario..
查看更多>>摘要：Investigators discuss new findings in artificial intelligence. According to news reporting from Zagreb, Croatia, by Ne wsRx journalists, research stated, "Procedural modeling offers significant advan tages over traditional methods of geovisualizing 3D building models, particularl y in its use of scripts or machine language for model description. This approach is highly suitable for computer processing and allows for the rapid rendering o f entire building models and cities, especially when the buildings are not highl y diverse, thus fully leveraging the strengths of procedural modeling." Funders for this research include Croatian Government And The European Union. The news correspondents obtained a quote from the research from University of Za greb: "The first hypothesis is that buildings in the real world are mostly diffe rent and they should still be able to be displayed through procedural modeling p rocedures, and the second hypothesis is that this can be achieved in several way s. The first hypothesis suggests that real-world buildings, despite their divers ity, can still be effectively represented through procedural modeling. The secon d hypothesis explores various methods to achieve this representation. The first approach involves recognizing the basic characteristics of a building from photo graphs and creating a model using machine learning. The second approach utilizes artificial intelligence (AI) to generate detailed building models based on comp rehensive input data. A script is generated for each building, making reverse pr ocedural modeling in combination with AI an intriguing field of study, which is explored in this research. To validate this method, we compare AI-generated buil ding models with manually derived models created through traditional procedural modeling techniques. The research demonstrates that integrating AI and machine l earning techniques with procedural modeling significantly improves the efficienc y and accuracy of generating 3D building models."
查看更多>>摘要：New research on Oncology - Nasopharyng eal Carcinoma is the subject of a report. According to news originating from Fuj ian, People's Republic of China, by NewsRx correspondents, research stated, "The objective of this study is to assess the prognostic efficacy of F-fluorodeoxygl ucose (F-FDG) positron emission tomography/computed tomography (PET-CT) paramete rs in nasopharyngeal carcinoma (NPC) and identify the best machine learning (ML) prognostic model for NPC patients based on these F-FDG PET/CT parameters and cl inical variables. A cohort of 678 patients diagnosed with NPC between 2016 and 2 020 was analyzed in this study."
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