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    University of Louisville Reports Findings in Artificial Intelligence (Leveraging Quantitative Systems Pharmacology and Artificial Intelligence to advance treatm ent of Chronic Kidney Disease Mineral Bone Disorder)

    11-11页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Artificial Intelligence is the su bject of a report. According to news reportingfrom Louisville, Kentucky, by New sRx journalists, research stated, “Chronic kidney disease mineral bonedisorder (CKD-MBD) is a complex clinical syndrome responsible for the accelerated cardiov ascular mortalityseen in individuals afflicted with CKD. Current approaches to therapy have failed to improve clinicaloutcomes adequately, likely due to targe ting surrogate biochemical parameters as articulated by theguideline developer, KDIGO (Kidney Disease: Improving Global Outcomes).”

    Findings from Sichuan Agricultural University Provides New Data on Machine Learn ing (Artificial Intelligent Housekeeper Based On Consumer Purchase Decision: a C ase Study of Online E-commerce)

    12-12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 out ofChengdu, People’s Republic of Chin a, by NewsRx editors, research stated, “PurposeThe rise of artificialintelligen ce (AI) and machine learning has largely promoted the emergence of ‘autonomous d ecisionmaking’(ADM).

    IRCCS San Raffaele Hospital Reports Findings in Radical Cystectomy (Robotic assi sted vs open radical cystectomy: an updated systematic review and meta-analysis)

    13-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Surgery - Radical Cyst ectomy is the subject of a report. Accordingto news reporting originating from Milan, Italy, by NewsRx correspondents, research stated, “Severalrandomized con trol trials (RCTs) have been published comparing open (ORC) with robot-assisted radicalcystectomy (RARC). However, uncertainty persists regarding this issue, a s evidences and recommendationson RARC are still lacking.”

    Findings from Tongji University in Machine Learning Reported (Reliable Calculati ons of Nuclear Binding Energies By the Gaussian Process of Machine Learning)

    14-14页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating in Shanghai, People’s Republ ic of China, by NewsRx journalists, research stated, “Reliablecalculations of n uclear binding energies are crucial for advancing the research of nuclear physic s. Machinelearning provides an innovative approach to exploring complex physica l problems.”

    Researchers from Nanjing University of Posts and Telecommunications Provide Deta ils of New Studies and Findings in the Area of Robotics (Design and Testing of a Magnetic Soft Crawling Robot With Multimodal Locomotion Driven By 3-d Magnetic ...)

    15-15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 reportingout of Nanjing, People’s Republic o f China, by NewsRx editors, research stated, “The noncontact drivingof soft rob ots by magnetic fields has the potential for practical application. To enable th e motion ofuntethered robots in a narrow space, a magnetic soft crawling robot with multimodal locomotion wasdeveloped.”

    Researchers from University of Amsterdam Discuss Findings in Robotics (How Does Children’s Anthropomorphism of a Social Robot Develop Over Time? A Six-wave Pane l Study)

    16-16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 Amsterdam,Netherlands, by NewsRx correspo ndents, research stated, “Research on children’s anthropomorphismof social robo ts is mostly cross-sectional and based on a single measurement. However, because socialrobots are new type of technology with which children have little experi ence, children’s initial responsesto social robots may be biased by a novelty e ffect.”

    New Machine Learning Study Findings Have Been Reported by Investigators at India n Institute of Technology (IIT) Kanpur (Accelerating the Prediction of Stacking Fault Energy By Combining Ab Initio Calculations and Machine Learning)

    17-17页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingout of Kanpur, India, by NewsRx edi tors, research stated, “Stacking fault energies (SFEs) are key parametersto und erstand the deformation mechanisms in metals and alloys, and prior knowledge of SFEs from abinitio calculations is crucial for alloy design. Machine learning ( ML) algorithms used in the present workshow a similar to 80 times acceleration of generalized stacking fault energy predictions, which are otherwisecomputatio nally very expensive to get directly from density functional theory calculations , particularly foralloys.”

    University Teknologi Malaysia Researchers Report Recent Findings in Artificial I ntelligence (Analysis of Recommender System Using Generative Artificial Intellig ence: A Systematic Literature Review)

    18-18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 artificial intell igence have been published. According to newsreporting out of Johor, Malaysia, by NewsRx editors, research stated, “Recommender Systems (RSs),which generate p ersonalized content, have become a technological tool with diverse applications for users.While numerous RSs have been proposed and successfully implemented ac ross various domains, traditionalAI-based RSs still encounter certain challenge s, such as data sparsity, cold start, and diversity.”

    New Machine Learning Study Findings Reported from National University of Singapo re (Exploring the optimal design space of transparent perovskite solar cells for four-terminal tandem applications through Pareto front optimization)

    19-19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 to newsreporting out of Singapore, Si ngapore, by NewsRx editors, research stated, “Machine learning algorithmscan en hance the design and experimental processing of solar cells, resulting in increa sed conversionefficiency. In this study, we introduce a novel machine learning- based methodology for optimizing thePareto front of four-terminal (4T) perovski te-copper indium selenide (CIS) tandem solar cells (TSCs).”

    Findings on Robotics Reported by Investigators at Sanming University (Design and Analysis of a Novel Omnidirectional Step-climbing Robot)

    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 Robotics are presented i n a new report. According to news originatingfrom Sanming, People’s Republic of China, by NewsRx correspondents, research stated, “We propose anovel omnidirec tional step-climbing robot capable of moving in all directions on the ground and climbingsteps. To achieve this, we present the construction and design of a ro bot equipped with four innovativeequilateral triangle-type chain wheels (ETCWs) and two elevation-adjusting modules (EAMs).”