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    Study Results from Xi’an Jiaotong University in the Area of Machine Learning Rep orted (Experimental Study On Heat Transfer Behavior and Prediction of Heat Trans fer Deterioration of Supercritical Nitrogen In Vertical Tubes)

    20-20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 pre sented in a new report. According to newsreporting out of Xi’an, People’s Repub lic of China, by NewsRx editors, research stated, “Heat transfercharacteristics of supercritical cryogenic fluids play important role in thermal equipment for liquid air energystorage, liquid hydrogen, etc. In this study, a low-temperatur e and high-pressure experimental device wasestablished to investigate the heat transfer behavior of supercritical nitrogen.”

    Reports from University of Shanghai for Science and Technology Highlight Recent Research in Artificial Intelligence (Multimodal Artificial Synapses for Neuromor phic Application)

    21-21页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on artificial intelligenc e is the subject of a new report. According tonews reporting out of Shanghai, P eople’s Republic of China, by NewsRx editors, research stated, “Therapid develo pment of neuromorphic computing has led to widespread investigation of artificia l synapses.”

    Findings from Chinese Academy of Sciences Provide New Insights into Robotics (Hi erarchical Human Motion Intention Prediction for Increasing Efficacy of Human-ro bot Collaboration)

    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 Ro botics. According to news reporting originatingfrom Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “When humans and robots wor k together to accomplish tasks with dynamic uncertainty, the robots should perce ive humanmotion intentions so as to cooperate with humans and increase efficacy . In this study, we propose ahierarchical motion intention prediction model for human-robot collaboration, in which the bottom levelacquires human motion info rmation, the middle level recognizes motion states and the high level predictsm otion intentions.”

    Wuhan Textile University Details Findings in Machine Learning (Transformer Techn ology In Molecular Science)

    22-23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 pre sented in a new report. According to newsreporting from Wuhan, People’s Republi c of China, by NewsRx journalists, research stated, “A transformeris the founda tional architecture behind large language models designed to handle sequential d ata by usingmechanisms of self-attention to weigh the importance of different e lements, enabling efficient processingand understanding of complex patterns. Re cently, transformer-based models have become some of themost popular and powerf ul deep learning (DL) algorithms in molecular science, owing to their distinctiv earchitectural characteristics and proficiency in handling intricate data.”

    Findings from Xi’an Jiaotong University in the Area of Robotics Reported (Kresli ng Origami With Differentiation Flaw Design for Multidirectional Crawling Robot)

    23-24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 Robotic s. According to news originating from Xi’an,People’s Republic of China, by News Rx correspondents, research stated, “Multidirectional motion abilityis a signif icant factor for crawling robots. Inspired by the Kresling origami pattern, this work introducesa soft pneumatic actuator that can achieve a compound motion in cluding twisting, contraction, andmultidirectional bending under the control of one single air source.”

    Researchers from University of Brasilia Detail Findings in Machine Learning (Pro bability of Default for Lifetime Credit Loss for Ifrs 9 Using Machine Learning C ompeting Risks Survival Analysis Models)

    24-25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 Machine Learning. According to news reportingoriginating from Brasilia, Brazil, by NewsRx correspondents, research stated, “This study introduces amachine lea rning competing risks survival analysis model aiming at exploring the Probabilit y of Defaultcomponent of credit risk. Due to modeling of a cumulative probabili ty of default over time, the model isapplicable to assess Lifetime Expected Cre dit Loss under the International Financial Reporting Standard(IFRS) 9 regulatio n for financial institutions.”

    Data on Robotics Reported by Kevin C. Zorn and Colleagues (Safety and Efficacy o f Same Day Discharge for Men Undergoing Contemporary Robotic-Assisted Aquablatio n Prostate Surgery in an Ambulatory Surgery Center Setting - First Global Experi ence)

    25-26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 reportingfrom Montreal, Canada, by NewsRx jour nalists, research stated, “To investigate the feasibility, safetyand efficacy o f same day discharge (SDD) after Aquablation specifically in an ambulatory surge ry center(ASC). A prospective cohort of men with significant BPH underwent Aqua blation at a single ASC.”

    Findings from Shenzhen University Yields New Findings on Machine Learning (Perfo rmance Evaluation of Conductive Materials In Conductive Mortar Based On Machine Learning)

    26-27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 Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “Conductivemortar auxiliary anode (CMAA) is one of the main materials to realize stable operation of cathodicprotection system. However, the conductive material in CMAA is comp lex and diverse, and its basicphysical properties have a complex functional rel ation with the type and content of conductive material.”

    Tohoku University Researchers Add New Data to Research in Robotics (Semantic-Bas ed Multi-Object Search Optimization in Service Robots Using Probabilistic and Co ntextual Priors)

    27-28页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New study results on robotics have bee n published. According to news reportingoriginating from Sendai, Japan, by News Rx correspondents, research stated, “In recent years, the demandfor service rob ots capable of executing high-level tasks has grown. In the future, service robo ts will beexpected to perform complex tasks like ‘Set table for dinner’.”

    Reports from Faculty of Computer Science Provide New Insights into Machine Learn ing (Machine Learning for Pyrimidine Corrosion Inhibitor Small Dataset)

    28-28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 pre sented in a new report. According to newsoriginating from Semarang, Indonesia, by NewsRx correspondents, research stated, “Machine learning (ML)approaches hav e been developed to predict materials’ corrosion inhibition efficiency, particul arly pyrimidinecompounds.”