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    New Artificial Intelligence Study Findings Have Been Reported from University of Montreal (Understanding the integration of artificial intelligence in healthcar e organisations and systems through the NASSS framework: a qualitative study in a ...)

    58-59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 the Uni versity of Montreal by NewsRx editors, research stated, "Artificial intelligence (AI) technologies are expected to ‘revolutionise' healthcare." The news journalists obtained a quote from the research from University of Montr eal: "However, despite their promises, their integration within healthcare organ isations and systems remains limited. The objective of this study is to explore and understand the systemic challenges and implications of their integration in a leading Canadian academic hospital. Semi-structured interviews were conducted with 29 stakeholders concerned by the integration of a large set of AI technolog ies within the organisation (e.g., managers, clinicians, researchers, patients, technology providers). Data were collected and analysed using the Non-Adoption, Abandonment, Scale-up, Spread, Sustainability (NASSS) framework. Among enabling factors and conditions, our findings highlight: a supportive organisational cult ure and leadership leading to a coherent organisational innovation narrative; mu tual trust and transparent communication between senior management and frontline teams; the presence of champions, translators, and boundary spanners for AI abl e to build bridges and trust; and the capacity to attract technical and clinical talents and expertise. Constraints and barriers include: contrasting definition s of the value of AI technologies and ways to measure such value; lack of real-l ife and context-based evidence; varying patients' digital and health literacy ca pacities; misalignments between organisational dynamics, clinical and administra tive processes, infrastructures, and AI technologies; lack of funding mechanisms covering the implementation, adaptation, and expertise required; challenges ari sing from practice change, new expertise development, and professional identitie s; lack of official professional, reimbursement, and insurance guidelines; lack of pre- and post-market approval legal and governance frameworks; diversity of t he business and financing models for AI technologies; and misalignments between investors' priorities and the needs and expectations of healthcare organisations and systems."
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    Studies Conducted at Hunan University on Machine Learning Recently Reported (Mea suring Digitalization Capabilities Using Machine Learning)

    59-59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 Ma chine Learning. According to news originating from Changsha, People's Republic o f China, by NewsRx correspondents, research stated, "By applying a widely used m achine learning technique called natural language processing (NLP) to unstructur ed text from annual reports, we create a new, multi-dimensional measure that cap tures the degree of digitalization capabilities of sensing, seizing, and reconfi guring. We construct a digitalization capabilities dictionary using one of the l atest NLP techniques-the word embedding model-for 36,200 firm-year observations over the period 2010-2021." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Ministry of Education, China, Natural Science Foundation of Hunan Province, Hunan Provincial Social Science Foundation of China.
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    Studies from University of British Columbia Have Provided New Data on Artificial Intelligence (Reinventing assessments with Chat- GPT and other online tools: Oppo rtunities for GenAI-empowered assessment practices)

    60-60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 originating fr om the University of British Columbia by NewsRx correspondents, research stated, "The recent emergence of generative artificial intelligence (GenAI) tools, such as ChatGPT, has brought profound changes to higher education. While many studie s have examined the potential use of ChatGPT in teaching and learning, few have explored the opportunities to develop assessments that facilitate the use of mul tiple technological innovations (i.e. traditional AI and GenAI tools)." The news reporters obtained a quote from the research from University of British Columbia: "We conducted qualitative research to address this gap. The assessmen ts of an elective English course in Hong Kong were re-designed to incorporate Ge nAI and other tools. Students were asked to employ and reflect on their use of t hese tools for their writing assessments. We analyzed the written reflections of 74 students and conducted focus group interviews with 28 students. The results suggest that the students possess an acumen for choosing the appropriate online tools for specific purposes. When they can choose freely, they develop skills th at allow them to evaluate and select between traditional AI and GenAI tools when appropriate."
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    Reports from Charles University of Prague Highlight Recent Findings in Machine L earning (Multi-horizon Equity Returns Predictability Via Machine Learning)

    60-61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 Prague, Cz ech Republic, by NewsRx editors, the research stated, "We investigate the predic tability of global expected stock returns across various forecasting horizons us ing machine learning techniques. We find that the predictability of returns decr eases with longer forecasting horizons both in the U.S. and internationally." Our news editors obtained a quote from the research from the Charles University of Prague, "Despite this, we provide evidence that using firm -specific characte ristics can remain profitable even after accounting for transaction costs, espec ially when we consider longer forecasting horizons. Studying the profitability o f long -short portfolios, we highlight a trade-off between higher transaction co sts connected to frequent rebalancing and greater returns on shorter horizons. I ncreasing the forecasting horizon while matching the rebalancing period increase s risk -adjusted returns after transaction costs for the U.S. We combine predict ions of expected returns at multiple horizons using double -sorting and a turnov er reducing strategy, buy/hold spread."
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    Study Results from Nanyang Technological University in the Area of Robotics Repo rted (Development of Robotic Sprayable Self-sensing Cementitious Material for Sm art Structural Health Monitoring)

    61-62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 originating from Singapore, Singapore, by New sRx correspondents, research stated, "Self-sensing cementitious materials are cr itical to smart structural health monitoring with the piezoresistivity as an ind icator for internal stress and cracks in the structure, which have been frequent ly utilized as functional coatings in engineering practices. To facilitate the a utomatic deployment of self-sensing cementitious materials, the compatibility wi th robotic spraying has been systematically investigated in this study." Financial supporters for this research include National Research Foundation, Sin gapore, CES_SDC Pte Ltd, Chip Eng Seng Corporation Ltd.
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    New Artificial Intelligence Data Have Been Reported by Researchers at Shanghai U niversity of Traditional Chinese Medicine (Artificial Intelligent Human-computer Dialogue Support Platform for Hospitals)

    62-63页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Artificial Intelligence are presented in a new report. According to news originating from Shanghai, Peop le's Republic of China, by NewsRx correspondents, research stated, "To design a dialogue model and standard artificial programming interface (API), this paper d esigns an intelligent dialogue support for medical service systems and improving hospital intelligent serviceability, which combines patient pre-diagnosis, diag nosis, and post-diagnosis services with artificial intelligence depth. This is d one via an intelligent man-machine dialogue support platform (MMDSP) suitable fo r medical services based on a multi-dimensional disease model and outpatient kno wledge base with artificial intelligence." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news journalists obtained a quote from the research from the Shanghai Univer sity of Traditional Chinese Medicine, "As a result of the intelligent service ca pability of the hospital service systems and platforms, patients' medical experi ences have significantly improved. The platform standardizes the multichannel s ervice process, improves patient service efficiency, and reduces the cost of hum an resources and business knowledge learning."
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    Chinese Academy of Sciences Researchers Update Knowledge of Machine Learning (Ma chine-learning-driven simulations on microstructure, thermodynamic properties, a nd transport properties of LiCl-KCl-LiF molten salt)

    63-64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 Ningbo, Peo ple's Republic of China, by NewsRx editors, the research stated, "The thermodyna mic and transport properties of high-temperature chloride molten salt systems ar e of great significance for spent fuel reprocessing in the field of nuclear ener gy engineering." Financial supporters for this research include National Natural Science Foundati on of China. Our news editors obtained a quote from the research from Chinese Academy of Scie nces: "Here, by using machine learning based deep potential (DP) method, we trai n a high-precision force field model for the LiCl-KCl-LiF system. During force f ield training, adding new dataset through multiple iterations improves the accur acy of the force field model and its applicability to more configurations. The c omparison of density functional theory (DFT) and DP results for the test dataset indicates that our trained DP model has the same accuracy as DFT. Then, we comp rehensively investigate the local structure, thermophysical properties, and tran sport properties of the LiCl-KCl and LiCl-KCl-LiF molten salt systems using the trained DP model. The effects of temperature and LiF concentration on the above properties are analyzed."
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    Chongqing Jiaotong University Researchers Publish New Studies and Findings in th e Area of Machine Learning (Machine learningbased prediction of compressive str ength in circular FRP-confined concrete columns)

    64-64页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in artific ial intelligence. According to news reporting originating from Chongqing, People 's Republic of China, by NewsRx correspondents, research stated, "This research aims to evaluate the compressive strength of FRP-confined columns using machine learning models. By systematically organizing codes and models proposed by vario us researchers, significant indicators influencing compressive strength have bee n identified." Our news correspondents obtained a quote from the research from Chongqing Jiaoto ng University: "A comprehensive database comprising 366 samples, including both CFRP and GFRP, has been assembled. Based on this database, a machine learning mo del was developed to accurately predict compressive strength. A thorough evaluat ion was conducted, comparing models proposed by codes and researchers. Additiona lly, a detailed parameter analysis was performed using the XGBoost model. The fi ndings highlight the importance of both code-based and researcher-proposed model s in enhancing our understanding of compressive strength. However, certain model s show tendencies towards conservative or overestimated predictions, indicating the need for further accuracy enhancement."
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    New Robotics Study Findings Have Been Reported by Researchers at University of K entucky (P Owering I N-f Ield C Ontinuous R Obotic S Ystems U Sing S Olar E Nerg y S Ystems)

    65-66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 Ro botics. According to news reporting from Lexington, Kentucky, by NewsRx journali sts, research stated, "A BSTRACT. Continuous in -field robotic and automated sys tems are challenged by the need for a continuous supply of power." Financial support for this research came from National Institute of Food and Agr iculture, U.S. Department of Agriculture, Hatch-Multistate Program. The news correspondents obtained a quote from the research from the University o f Kentucky, "This off -grid power supply can be diesel, gasoline, propane, or al ternative energy sources like solar or wind. This study investigates the require d solar panel arrays and energy storage capacities for an off -grid solar -batte ry power supply system. This study used 22 years of historical weather data from Lexington, Kentucky, and processed it with the National Renewable Energy Labora tory's System Advisor Model to model hourly energy output from solar panel array s of 2 kW, 3 kW, 4 kW, 5 kW, 10 kW, 15 kW, and 20 kW. This was combined with an energy storage model (simulated battery capacities of 5 kWh, 10 kWh, 15 kWh, 20 kWh, 30 kWh, 40 kWh, 50 kWh, and 60 kWh) and an energy use model (simulated dail y energy demands of 3.6 kWh, 6 kWh, 12 kWh, 18 kWh, and 24 kWh) to determine whi ch systems could operate over the entire 22 years without reaching critical mini mum levels. For a 3.6 kWh daily energy demand, 32 combinations of solar panel ar rays and battery capacities remained above critical levels, while this was only 12 combinations for a 6 kWh daily energy demand and no combination could support larger energy demands. An example a feasible system to support a 6 kWh energy d emand is one that uses a 15 kW panel array (42 standard panels with an approxima te system hardware cost of $22,650) and 30 kWh of energy storage ca pacity (which with lead acid batteries would cost $11,661 and requi re a volume of 300 L). There is a tradeoff between solar panel array size and ba ttery capacity so other feasible systems can be realized by increasing one to ma ke up for reductions in the other variable. Additionally, limiting system operat ion to March through October can reduce the size of the required panel array (to between 33% to 67% of the original size) or energy storage capacity (to between 40% to 67% of the origi nal capacity) for a given daily energy load. The size of the solar battery syste m could be further decreased by adding an emergency generator that uses no more than 50 kg of propane annually. Battery capacities could be reduced by 17% to 38% compared to the original system, and the solar panel arrays could be reduced by 13% to 15% compared to the orig inal. Specific reduction amounts depended on the specific configuration of the o riginal system and the daily load level that had to be supported. A system that only operated from March through October with a backup generator could also supp ort the 12 and 18 kWh daily energy demands, which could not be supported by the original system. Even with limiting operation to March through October and using an emergency generator, the minimal battery capacity was at least 2.5 times lar ger than the daily energy demand, and the solar panel array had to be large enou gh that the nominal output would provide the daily energy demand in 3 hours of f ull sun. However, because of the trade-off relationship, these minimums cannot b e attained together."
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    New Findings Reported from University of Leuven (KU Leuven) Describe Advances in Robotics (Towards Robotic Disassembly: a Comparison of Coarse-to-fine and Multi modal Fusion Screw Detection Methods)

    66-67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 Robotics are disc ussed in a new report. According to news reporting from Leuven, Belgium, by News Rx journalists, research stated, "To accelerate the transition towards a more ci rcular economy it is believed essential to increase the economic viability and h ence the adoption of de- and remanufacturing processes. For this, industry 4.0 t echnologies, including robotization, computer vision and artificial intelligence , are commonly considered as the main enablers to reduce costs while boosting pe rformances of de- and remanufacturing processes." Financial support for this research came from European Institute of Innovation a nd Technology (EIT) Raw Materials.
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