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    Study Findings from Lovely Professional University Provide New Insights into Machine Learning (Water Quality Prediction of Salton Sea Using Machine Learning and Big Data Techniques)

    49-50页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are presented in a new report. According to newsreporting from Phagwara, India, by NewsRx journalists, research stated, “Water accounts for about 70%of the earth’s surface and is one of the most important sources of life. The degradation of the Salton Sea’swater quality due to excessive usage of fertilisers and pesticides in agriculture has posed serious risks tobiodiversity, human health, and the local economy.”

    Goethe-University Frankfurt Researcher Highlights Research in Artificial Intelligence (Optimized Financial Planning: Integrating Individual and Cooperative Budgeting Models with LLM Recommendations)

    50-51页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artificial intelligence. According to news reportingfrom Frankfurt am Main, Germany, by NewsRx journalists, research stated, “In today’s complex economicenvironment, individuals and households alike grapple with the challenge of financial planning.”Our news editors obtained a quote from the research from Goethe-University Frankfurt: “This paperintroduces novel methodologies for both individual and cooperative (household) financial budgeting. Wefirstly propose an optimization framework for individual budget allocation, aiming to maximize savingsby efficiently distributing monthly income among various expense categories. We then extend this modelto households, wherein the complexity of handling multiple incomes and shared expenses is addressed.The cooperative model prioritizes not only maximized savings but also the preferences and needs of eachmember, fostering a harmonious financial environment, whether they are short-term needs or long-termaspirations. A notable innovation in our approach is the integration of recommendations from a largelanguage model (LLM). Given its vast training data and potent inferential capabilities, the LLM providesinitial feasible solutions to our optimization problems, acting as a guiding beacon for individuals andhouseholds unfamiliar with the nuances of financial planning.”

    Research from Changi General Hospital Reveals New Findings on Robotics (Tips and tricks for robotic lateral pelvic node dissection)

    51-51页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in robotics. According to news reporting originatingfrom the Changi General Hospital by NewsRx correspondents, research stated, “Lateral pelvic nodedissection can be challenging.”The news editors obtained a quote from the research from Changi General Hospital: “In addition todetailed anatomical knowledge of the pelvic side wall, surgeons also need to be proficient in performingfine dissection within the confines of this limited operative field. While the incorporation of robotics canfacilitate the safe completion of this technically demanding procedure, this is nonetheless dependent onthe way the robotic system is used.”

    Findings on Robotics Reported by Investigators at Zhejiang University (Co-creation With Service Robots and Employee Wellbeing: a Self-determination Perspective)

    51-52页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Robotics. According to news reporting out ofHangzhou, People’s Republic of China, by NewsRx editors, research stated, “Service robots have beenwidely utilised in service encounters to deliver human services. However, it is unclear whether co-creationwith service robots increases or decreases employee wellbeing.”

    Report Summarizes Machine Learning Study Findings from Hebei Agricultural University (A Machine Learning Model Based on GRU and LSTM to Predict the Environmental Parameters in a Layer House, Taking CO2 Concentration as an Example)

    52-53页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artificial intelligence. According to news reportingout of Baoding, People’s Republic of China, by NewsRx editors, research stated, “In a layer house, theCO2 (carbon dioxide) concentration above the upper limit can cause the oxygen concentration to bebelow the lower limit suitable for poultry. This leads to chronic CO2 poisoning in layers, which manifestsas listlessness, reduced appetite, weak constitution, decreased production performance, and weakenedresistance to disease. Regulating ventilation may ensure a suitable CO2 concentration in layer houses.”Financial supporters for this research include S&T Program of Hebei; Modern Agricultural IndustrialTechnology System in Hebei Province Innovation Team Project; Beijing Innovation Consortium of DigitalAgriculture Research System; Research Project on Basic Research Business Expenses of Provincial HigherEducation Institutions in Hebei Province.

    Investigators at Dalian University of Technology Describe Findings in Machine Learning (Modelling Electrified Microporous Carbon/electrolyte Electrochemical Interface and Unraveling Charge Storage Mechanism By Machine Learning Accelerated ...)

    53-54页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Machine Learning. According to news reporting out of Dalian,People’s Republic of China, by NewsRx editors, research stated, “Ion storage in electric double layer (EDL)of microporous carbon (<1 nm) has been demonstrated to be a partially desolvated structure, leading toa capacitance increase. Due to the relevance of the interface structure to capacitance behavior and chargestorage mechanism, it is critical to give a deep insight into the micropore/ electrolyte interface at themolecular scale.”Financial supporters for this research include National Natural Science Foundation of China (NSFC),China Postdoctoral Science Foundation.

    Department of Electronics and Communication Engineering Reports Findings in Machine Learning (A vehicular network based intelligent transport system for smart cities using machine learning algorithms)

    54-55页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject of a report. According to news reportingoriginating from Tamil Nadu, India, by NewsRx correspondents, research stated, “Smart cities and theInternet of Things have enabled the integration of communicating devices for efficient decision-making.Notably, traffic congestion is one major problem faced by daily commuters in urban cities.”

    Stanford University Reports Findings in Machine Learning (Machine Learning Strategies for Improved Phenotype Prediction in Underrepresented Populations)

    55-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to news reportingout of Barcelona, Spain, by NewsRx editors, research stated, “Precision medicine models often performbetter for populations of European ancestry due to the over-representation of this group in the genomicdatasets and large-scale biobanks from which the models are constructed. As a result, prediction modelsmay misrepresent or provide less accurate treatment recommendations for underrepresented populations,contributing to health disparities.”

    Data from University of Sydney Update Knowledge in Artificial Intelligence (Testing Game Theory of Mind Models for Artificial Intelligence)

    56-57页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According tonews originating from Sydney, Australia, by NewsRx correspondents, research stated, “In this article, weinvestigate the relative performance of artificial neural networks and structural models of decision theoryby training 69 artificial intelligence models on a dataset of 7080 human decisions in extensive form games.”The news reporters obtained a quote from the research from University of Sydney: “The objective is tocompare the predictive power of AIs that use a representation of another agent’s decision-making processin order to improve their own performance during a strategic interaction. We use human game theory datafor training and testing. Our findings hold implications for understanding how AIs can use constrainedstructural representations of other decision makers, a crucial aspect of our ‘Theory of Mind’.”

    New Nanocomposites Findings from Defence Institute of Advanced Technology Outlined (Machine Learning-assisted Electrode Material Fabrication and Electrochemical Efficiency Prediction and Validation of Pani-ni/co Hydroxide Nanocomposites)

    57-57页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Nanotechnology - Nanocomposites. According to news originatingfrom Pune, India, by NewsRx correspondents, research stated, “Electrode materials play a critical rolein the charge storage mechanism in supercapacitor devices. Hence, predicting the performance, namely,the specific capacitance (C-sp), rate capability, and cyclic stability of these electrodes, is crucial for supercapacitorapplications.”