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    First Affiliated Hospital of Guangxi Medical University Reports Findings in Arti ficial Intelligence (Artificial intelligence-driven multiomics predictive model for abdominal aortic aneurysm subtypes to identify heterogeneous immune cell … )

    12-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting originating in Guangxi , People’s Republic of China, by NewsRx journalists, research stated, “Abdominalaortic aneurysm (AAA) poses a significant health risk and is influenced by vari ous compositionalfeatures. This study aimed to develop an artificial intelligen ce-driven multiomics predictive model for AAAsubtypes to identify heterogeneous immune cell infiltration and predict disease progression.”

    Study Findings from Korea Institute of Science and Technology Update Knowledge I n Robotics (Automated Destination Renewal Process for Location-Based Robot Erran ds)

    13-14页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on robotics have been pr esented. According to news originating fromSeoul, South Korea, by NewsRx corres pondents, research stated, “In this paper, we propose a newapproach for service robots to perform delivery tasks in indoor environments, including map-building andthe automatic renewal of destinations for navigation.”

    Department of Applied Computer Science Researcher Updates Knowledge of Artificia l Intelligence (Towards Model-Driven Explainable Artificial Intelligence: Functi on Identification with Grammatical Evolution)

    14-14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 artificial intelligence. According to news reportingoriginating from Krakow, Po land, by NewsRx correspondents, research stated, “Machine learning is awell-mat ured discipline, and exploration of datasets can be performed in an efficient wa y, leading toaccurate and operational prediction and decision models.”

    Study Results from Northwestern University Update Understanding of Machine Learn ing (Visualization for Trust In Machine Learning Revisited: the State of the Fie ld In 2023)

    15-15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 originatingfrom Evanston, Illinois, by NewsRx correspondents, research stated, “Visualization for explainable andtrustworthy machine learning remains one of the most important and heavily researched field s withininformation visualization and visual analytics with various application domains, such as medicine, finance,and bioinformatics.”

    Data on Artificial Intelligence Reported by Florian Kofler and Colleagues (AI-As sisted Diagnostics in Dentistry: An Eye-Tracking Study on User Behavior)

    16-16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 report. According to newsreporting originating from Neuhe rberg, Germany, by NewsRx correspondents, research stated, “ArtificialIntellige nce (AI) has increasingly been integrated into dental practices, notably in radi ographic imaginglike Orthopantomograms (OPGs), transforming diagnostic protocol s. Eye tracking technology offers amethod to understand how dentists’ visual at tention may differ between conventional and AI-assisteddiagnostics, but its int egration into daily clinical practice is challenged by the cost and complexity o ftraditional systems.”

    Brazilian Nanotechnology National Laboratory Reports Findings in Machine Learnin g (Performance Assessment of Universal Machine Learning Interatomic Potentials: Challenges and Directions for Materials’ Surfaces)

    17-17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 out of Sao Paulo, Brazil, by NewsRx editors, research stated, “Machine learning interatomicpotentials (MLIPs ) are one of the main techniques in the materials science toolbox, able to bridg eaccuracy with the computational efficiency of classical force fields. This all ows simulations ranging fromatoms, molecules, and biosystems, to solid and bulk materials, surfaces, nanomaterials, and their interfacesand complex interactio ns.”

    Reports Summarize Machine Learning Study Results from Tamil Nadu Agricultural Un iversity (Machine learning approaches for estimation of the fraction of absorbed photosynthetically active radiation and net photosynthesis rate of maize using …)

    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 artificial intelligenc e is the subject of a new report. According tonews originating from Tamil Nadu, India, by NewsRx correspondents, research stated, “The fraction ofabsorbed pho tosynthetically active radiation (FAPAR) and the photosynthesis rate (Pn) of mai ze canopieswere identified as essential photosynthetic parameters for accuratel y estimating vegetation growth andproductivity using multispectral vegetation i ndices (VIs).”

    New Intelligent Vehicles Study Results from Tianjin University of Technology Des cribed (Learnable Diffusion-based Amplitude Feature Augmentation for Object Trac king In Intelligent Vehicles)

    19-19页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Transportation - Intelligent Vehicl es are presented in a new report. According tonews originating from Tianjin, Pe ople’s Republic of China, by NewsRx correspondents, research stated,“Data augme ntation is an effective approach to enhance generalization of object tracking mo dels, whichhas been widely applied into intelligent transportation to handle th e challenging factors, such as lightingchanges from day to night. However, curr ent object tracking methods primarily employ pixel-level dataaugmentation techn iques.”

    Department of Urology Reports Findings in Prostatectomy (Comparative evaluation of continence and potency after radical prostatectomy: Robotic vs. laparoscopic approaches, validating LAP-01 trial)

    20-21页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Surgery - Prostatectom y is the subject of a report. According to newsoriginating from Murcia, Spain, by NewsRx correspondents, research stated, “Minimally invasive techniqueshave d emonstrated several advantages over the open approach. In the field of prostate cancer, the LAP-01 trial demonstrated the superiority of robotic-assisted radica l prostatectomy (RARP) over laparoscopicradical prostatectomy (LRP) when compar ing continence at 3-month after surgery, with no statisticallysignificant diffe rences at 6 and 12 months of follow-up.”

    Researchers from Northwest A&F University Describe Findings in Mach ine Learning (Precision Forecasting of Fertilizer Components ‘ Concentrations In Mixed Variable-rate Fertigation Through Machine Learning)

    21-22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 fromYangling, People’s Republic of China , by NewsRx journalists, research stated, “Accurate monitoring offertilizer con centration and variable irrigation components is crucial for achieving precision irrigationthrough variable -rate fertigation. However, technological and cost constraints pose challenges in effectivelymanaging mixed variable -rate fertiga tion.”