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    Studies from Imperial College London Have Provided New Information about Machine Learning (Machine Learning Memory Kernels As Closure for Non-markovian Stochast ic Processes)

    10-11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 o f a report. According to news reportingfrom London, United Kingdom, by NewsRx j ournalists, research stated, “Finding the dynamical law ofobservable quantities lies at the core of physics. Within the particular field of statistical mechani cs, thegeneralized Langevin equation (GLE) comprises a general model for the ev olution of observables coveringa great deal of physical systems with many degre es of freedom and an inherently stochastic nature.”

    New Machine Learning Study Findings Reported from Sun Yat-sen University (From P lan To Delivery: Machine Learning Based Positional Accuracy Prediction of Multi- leaf Collimator and Estimation of Delivery Effect In Volumetric Modulated Arc Th erapy)

    11-12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 Machine Learn ing have been published. According tonews reporting out of Guangzhou, People’s Republic of China, by NewsRx editors, research stated, “Thepositional accuracy of MLC is an important element in establishing the exact dosimetry in VMAT. We comprehensively analyzed factors that may affect MLC positional accuracy in VMAT, and constructed amodel to predict MLC positional deviation and estimate planni ng delivery quality according to the VMATplans before delivery.”

    New Findings on Pattern Recognition and Artificial Intelligence Described by Inv estigators at Chang’an University (Aimhnet: an Attribute-insensitive Multiscale Hourglass Network for Rain Streak and Raindrop Removal)

    12-13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 - Patt ern Recognition and Artificial Intelligence isnow available. According to news reporting originating in Shaanxi, People’s Republic of China, by NewsRxjournali sts, research stated, “CNN-based methods have made great progress in single-imag e rain removal.Most recent methods improve performance by increasing the depth of the network.”

    McGill University Health Center Reports Findings in Congenital Heart Disease (Ma chine Learning Informed Diagnosis for Congenital Heart Disease in Large Claims D ata Source)

    13-14页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Congenital Diseases an d Conditions - Congenital Heart Disease is thesubject of a report. According to news reporting out of Montreal, Canada, by NewsRx editors, researchstated, “Wi th an increasing interest in using large claims databases in medical practice an d research, it isa meaningful and essential step to efficiently identify patien ts with the disease of interest. This study aimsto establish a machine learning (ML) approach to identify patients with congenital heart disease (CHD) inlarge claims databases.”

    Data on Biological Markers Reported by Martin Andersson-Li and Colleagues (Devel opment of a logic regression-based approach for the discovery of host- and niche -informative biomarkers in Escherichia coli and their application for microbial …)

    14-15页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Diagnostics and Screen ing - Biological Markers is the subject ofa report. According to news originati ng from Stockholm, Sweden, by NewsRx correspondents, researchstated, “Microbial source tracking leverages a wide range of approaches designed to trace the orig ins offecal contamination in aquatic environments. Although source tracking met hods are typically employedwithin the laboratory setting, computational techniq ues can be leveraged to advance microbial sourcetracking methodology.”

    New Findings in Artificial Intelligence Described from Kaiserslautern (The priva cy-explainability trade-off: unraveling the impacts of differential privacy and federated learning on attribution methods)

    15-16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 Kaiserslautern, G ermany, by NewsRx editors, research stated, “Since the advent of deeplearning ( DL), the field has witnessed a continuous stream of innovations. However, the tr anslation ofthese advancements into practical applications has not kept pace, p articularly in safety-critical domainswhere artificial intelligence (AI) must m eet stringent regulatory and ethical standards.”

    Study Findings on Machine Learning Are Outlined in Reports from National Univers ity of Singapore (Exploring the Role of Process Control and Catalyst Design In M ethane Catalytic Decomposition: a Machine Learning Perspective)

    16-17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 from Singapore, Singapore, b y NewsRx correspondents, research stated, “Methane catalyticpyrolysis presents a promising avenue for producing CO2-free hydrogen. However, optimizing catalystcomposition and process parameters through experimental studies has been resour ce-intensive.”

    Researchers from Quantity Surveying Department Detail Findings in Machine Learni ng (Awareness and adoption readiness of machine learning technology in the const ruction industry of a developing country: a case of Nigeria)

    17-17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 reportingfrom the Quantity Surveying D epartment by NewsRx journalists, research stated, “This study investigatedthe a wareness of the Nigerian construction organisations on some identified ML applic ation areas, andthe readiness of the organisations to adopt ML learning in the identified application areas.”

    Huazhong University of Science and Technology Reports Findings in Cardiomyopathi es (Integrated multi-omics analysis and machine learning developed diagnostic ma rkers and prognostic model based on Efferocytosis-associated signatures for sept ic …)

    18-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Heart Disorders and Di seases - Cardiomyopathies is the subject of areport. According to news reportin g originating from Wuhan, People’s Republic of China, by NewsRx correspondents,research stated, “Septic cardiomyopathy (SCM) is characterized by an abnormal in flammatoryresponse and increased mortality. The role of efferocytosis in SCM is not well understood.”

    University of Milano Bicocca Reports Findings in Machine Learning (Development o f a machine learning interatomic potential for exploring pressure-dependent kine tics of phase transitions in germanium)

    19-19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 th e subject of a report. According to newsreporting originating from Milano, Ital y, by NewsRx correspondents, research stated, “We introduce a datadrivenpotent ial aimed at the investigation of pressure-dependent phase transitions in bulk g ermanium,including the estimate of kinetic barriers. This is achieved by suitab ly building a database includingseveral configurations along minimum energy pat hs, as computed using the solid-state nudged elasticband method.”