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    Findings from North Dakota State University Provide New Insights into Artificial Intelligence (Unraveling the Mysteries of Ai Chatbots)

    20-20页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Artificial In telligence have been published. According tonews reporting out of Fargo, North Dakota, by NewsRx editors, the research stated, “This primer providesan overvie w of the rapidly evolving field of generative artificial intelligence, specifica lly focusing on largelanguage models like ChatGPT (OpenAI) and Bard (Google). L arge language models have demonstratedunprecedented capabilities in responding to natural language prompts.”

    Studies from University of Tennessee at Knoxville Add New Findings in the Area o f Machine Learning (Predicting Silicate Glass Geochemistry Using Raman Spectrosc opy and Supervised Machine Learning: Partial Least Square Applications To Amorph ous …)

    21-22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 Ma chine Learning. According to news reportingoriginating from Knoxville, Tennesse e, by NewsRx correspondents, research stated, “Here, Raman spectroscopyis used to develop a univariate partial least squares (PLS) calibration capable of quant ifyinggeochemistry in synthetic and natural silicate glass samples. The calibra tion yields eight oxide-specificmodels that allow predictions of silicon dioxid e (SiO2), sodium oxide (Na2O), potassium oxide (K2O),calcium oxide (CaO), titan ium dioxide (TiO2), aluminum oxide (Al2O3), ferrous oxide (FeOT), andmagnesium oxide (MgO) (wt%) in glasses spanning a wide range of compositions, while also providingcorrelation-coefficient matrices that highlight the import ance of specific Raman channels in the regressionof a particular oxide.”

    Data on Robotics Discussed by Researchers at Chitkara University Institute of En gineering and Technology (Deep trained features extraction and dense layer class ification of sensitive and normal documents for robotic vision-based segregation )

    22-22页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on robotics is the subjec t of a new report. According to news reportingoriginating from Punjab, India, b y NewsRx correspondents, research stated, “The digitization of importantdocumen ts and their segregation can be a beneficial and time-saving activity as individ uals will have greateraccess to important documents and will be able to use the m in regular tasks as well as endeavours. Inrecent years, research into the app lication of deep networks in robot systems has increased as a directconsequence of the advancements made in classification algorithms over the past few decades .”

    Researchers’ from Kyiv National Economic University named after Vadym Hetman Rep ort Details of New Studies and Findings in the Area of Artificial Intelligence ( Implementation of Artificial Intelligence in Energy Consumption Calculations To …)

    23-24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 ar tificial intelligence. According to news originatingfrom Kyiv National Economic University named after Vadym Hetman by NewsRx correspondents, researchstated, “In authors’ opinion, the relevance of implementing artificial intelligence in t he calculation ofenergy consumption in order to reduce excess generation lies i n several key aspects: 1) efficient useof resources (by analysing data and pred icting energy consumption patterns using artificial intelligence,the operation of the energy system can be optimised, ensuring efficient use of energy resource s andavoiding excessive electricity generation); 2) reduction of losses (artifi cial intelligence can help identify andeliminate problematic segments in energy systems, leading to a reduction in energy losses during transportand distribut ion); 3) consumption forecasting (artificial intelligence can predict and respon d to energyconsumption peaks, ensuring the stability of energy supply and avoid ing overloading of energy systems);4) resource conservation and emissions reduc tion (efficient management of energy consumption usingartificial intelligence c an lead to reduced fuel consumption and greenhouse gas emissions, promoting moresustainable and environmentally friendly development). Artificial intelligence is a field of computer sciencethat deals with the creation of programs and syst ems capable of performing tasks that typically requirehuman intellectual abilit ies.”

    Reports on Machine Learning Findings from Birla Institute of Technology Provide New Insights (Using Ensemble Machine Learning Algorithm To Predict Forest Fire O ccurrence Probability In Madhya Pradesh and Chhattisgarh, India)

    24-25页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Machine Learning is now available. According to news originating from Jharkhand,India, by NewsRx correspondents, research stated, “The escalating global threat of forest fires, drivenby global warming, requires the development of effective prediction systems to mitigate d amages. Thisresearch focuses on Madhya Pradesh (MP) and Chhattisgarh (CG) state s in central India, where forestfire risk has become particularly pronounced.”

    Findings from University of the Chinese Academy of Sciences in the Area of Robot ics Reported (Automated Robotic Assembly of Shaft Sleeve Based On Reinforcement Learning)

    25-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news originatingfrom Beijing, People’s Republic o f China, by NewsRx correspondents, research stated, “Shaft sleeveassembly is a common task in industrial manufacturing. The fitting approach for shaft sleeve a ssembly isusually interference fit, which requires significant contact forces.”

    Nanjing University of Aeronautics and Astronautics Reports Findings in Robotics (Design of composite puncture blood collection system and research on puncture f orce)

    26-27页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingoriginating from Nanjing, People’s Re public of China, by NewsRx correspondents, research stated, “Venousblood collec tion testing is one of the most commonly used medical diagnostic methods. Compar ed withconventional venous blood collection, robotic collection can reduce need le-stick injuries, medical staffworkload, and infection risk; allow doctor-pati ent isolation; and improve collection reliability.”

    Researcher from Nanchang University Publishes New Studies and Findings in the Ar ea of Pattern Recognition and Artificial Intelligence (An Analysis of Hierarchic al Routing Strategy with Advanced Additional Sensors in WSNs)

    27-28页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on pattern recogniti on and artificial intelligence are discussed in a newreport. According to news originating from Nanchang, People’s Republic of China, by NewsRx editors, there search stated, “Two kinds of sensors will be discussed in some sort of wireless sensor networks (WSNs).One is named a normal sensor (called A_node s) with fixed initial energy, which can get perception datafrom the surrounding environment and have functions of storage and forwarding. The other is named relay sensor (called B_node) with sufficient energy, which only can s tore data and forward data.”

    Investigators from University of Copenhagen Have Reported New Data on Machine Le arning (Machine Learning for Predicting Shallow Groundwater Levels In Urban Areas)

    28-28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 Machine Learning. According to news reporting originatingin Copenhagen, Denmark, by Ne wsRx journalists, research stated, “In this study, the potentialof machine lear ning (ML) for shallow groundwater level predictions in urban areas is explored. It focuseson curating a training dataset that represents the spatial variabilit y of the water table depth, tests theeffect of using different feature variable s in ML modeling, and finally, compares two ML models with aphysically-based (P B) urban hydrological model.”

    Findings on Machine Learning Reported by Investigators at Rajalakshmi Engineerin g College (Fiber Reinforced Self Compacting Concrete Workability Properties Pred iction and Optimization of Mix Using Machine Learning Modeling)

    29-29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 Ma chine Learning. According to news reportingoriginating in Tamil Nadu, India, by NewsRx journalists, research stated, “Self Compacting Concrete (SCC)is an engi neered concrete manufactured in such a way that it can compact itself independen tly, withoutany external vibrations or equipment. The self-weight of the SCC is specifically higher than that of theConventionally Vibrated Concrete (CVC) bec ause of more fines in the SCC.”