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    New Findings from Lawrence Livermore National Laboratory Describe Advances in Ma chine Learning (Machine Learning Assisted Bayesian Inference of Mix and Hot-spot Conditions In Nif Implosions)

    37-37页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News - A new study on Machine Learning is now available. According to news reporting from Livermore, California, by NewsRx journalists, research stated, “Experiments on the National Ignition Facility (NIF) have provi ded clear evidence of ablator material mixing into the Hot-Spot, leading to degr aded performance. However, inferring the amount of mix and Hot-Spot conditions f rom typical experimental observations (e.g. x-ray spectra and images) is highly challenging.” Financial supporters for this research include LLNL, Laboratory Directed Researc h and Development (LDRD).

    Reports from Yanshan University Add New Study Findings to Research in Machine Le arning (Mining Trajectory Planning of Unmanned Excavator Based on Machine Learni ng)

    38-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Researchers detail new data in artific ial intelligence. According to news reporting originating from Qinhuangdao, Peop le’s Republic of China, by NewsRx correspondents, research stated, “Trajectory p lanning plays a crucial role in achieving unmanned excavator operations.” Funders for this research include Natural Science Foundation of Hebei Province; National Natural Science Foundation of China; Joint Fund For Regional Innovation Development of National Natural Science Foundation of China; Special Carrier Eq uipment Research Center of Yanshan University.

    New Robotics Data Have Been Reported by Researchers at Aristotle University of T hessaloniki (A Synthetic Human-centric Dataset Generation Pipeline for Active Ro botic Vision)

    39-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Current study results on Robotics have been published. According to news reporting out of Thessaloniki, Greece, by New sRx editors, research stated, “Active vision aims to equip computer vision metho ds with the ability to dynamically adjust the capturing sensor’s viewpoint, posi tion, or parameters in real time. This dynamic capability allows for improving t he accuracy of the perception process.” Financial support for this research came from European Union (EU).

    Faculty of Tourism and Hotel Management Researchers Report on Findings in Artifi cial Intelligence (Legal Basis of Educational Processes of Artificial Intelligen ce Algorithms in E-tourism)

    40-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News - New study results on artificial intelligence have been published. According to news originating from the Faculty of Tourism and H otel Management by NewsRx editors, the research stated, “E-tourism has become a key component in the tourism industry and allows travelers to easily access info rmation about destinations and services via the Internet, facilitating their tra vel planning process.” The news editors obtained a quote from the research from Faculty of Tourism and Hotel Management: “Through e-tourism, travelers can research destinations, plan trips, book accommodations, purchase transportation tickets, and explore tourist attractions through online resources. Also, this area helps tourism businesses to effectively promote their services, communicate with clients and manage reser vations. Etourism represents the integration of information and communication t echnologies in the tourism sector. This concept encompasses the application of d igital technologies such as the Internet, mobile applications, online reservatio n systems, web platforms and social media to improve aspects of travel and touri sm. The legal foundation of educational procedures utilizing artificial intellig ence algorithms in e-tourism holds significant importance because of the multitu de of potential legal complexities and obstacles that could emerge.”

    University Magna Graecia Reports Findings in Progressive Supranuclear Palsy (Com bined blood Neurofilament light chain and third ventricle width to differentiate Progressive Supranuclear Palsy from Parkinson’s Disease: A machine learning stu dy)

    41-42页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News - New research on Neurodegenerative Diseases and Co nditions - Progressive Supranuclear Palsy is the subject of a report. According to news reporting originating from Catanzaro, Italy, by NewsRx correspondents, r esearch stated, “Differentiating Progressive Supranuclear Palsy (PSP) from Parki nson’s Disease (PD) may be clinically challenging. In this study, we explored th e performance of machine learning models based on MR imaging and blood molecular biomarkers in distinguishing between these two neurodegenerative diseases.”

    Study Results from Shanghai University of Electric Power in the Area of Machine Learning Reported (A Novel Machine Learning Based Fault Diagnosis Method for All Gas-path Components of Heavy Duty Gas Turbines With the Aid of Thermodynamic Mo del)

    42-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Researchers detail new data in Machine Learning. According to news reporting originating from Shanghai, People’s Repub lic of China, by NewsRx correspondents, research stated, “Heavy-duty gas turbine s are key engines for clean energy utilization and efficient conversion in natur al gas power plants. Gas-path components are the components with the highest fai lure rate in gas turbines, and their faults are highly hidden and destructive.”

    University of Tokyo Researchers Advance Knowledge in Artificial Intelligence (BS ED: Baseline Shapley-Based Explainable Detector)

    43-44页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New research on artificial intelligenc e is the subject of a new report. According to news reporting originating from T okyo, Japan, by NewsRx correspondents, research stated, “Explainable artificial intelligence (XAI) has witnessed significant advances in the field of object rec ognition, with saliency maps being used to highlight image features relevant to the predictions of learned models.” Funders for this research include Institute For Ai And Beyond of The University of Tokyo.

    Study Results from Symbiosis International (Deemed) University Broaden Understan ding of Machine Learning (Surface roughness prediction of AISI D2 tool steel dur ing powder mixed EDM using supervised machine learning)

    47-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Research findings on artificial intell igence are discussed in a new report. According to news reporting originating fr om Symbiosis International (Deemed) University by NewsRx correspondents, researc h stated, “Surface integrity is one of the key elements used to judge the qualit y of machined surfaces, and surface roughness is one such quality parameter that determines the pass level of the machined product. In the present study, AISI D 2 steel was machined with electric discharge at different process parameters usi ng Jatropha and EDM oil.”

    Researcher at Northern Border University Publishes New Data on Artificial Intell igence (Artificial Intelligence, Cyber Security Measures And Sme’s E-operational Efficiency: Moderating Role of Employees Perception of Ai Usefulness)

    48-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Investigators discuss new findings in artificial intelligence. According to news originating from Northern Border Univ ersity by NewsRx correspondents, research stated, “This study endeavours to eluc idate the influence of artificial intelligence (AI) adoption on enterprise packa ges within small and medium-sized enterprises (SMEs) while delineating the facto rs that contribute to e-operational performance. A cohort of 235 employees was s elected from a range of SMEs engaged in active E-business endeavours.”

    Shanghai Jiao Tong University School of Medicine Reports Findings in Artificial Intelligence (Exploration of anatomical distribution of brain metastasis from br east cancer at first diagnosis assisted by artificial intelligence)

    49-49页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New research on Artificial Intelligenc e is the subject of a report. According to news reporting from Shanghai, People’ s Republic of China, by NewsRx journalists, research stated, “This study aimed t o explore the spatial distribution of brain metastases (BMs) from breast cancer (BC) and to identify the high-risk sub-structures in BMs that are involved at fi rst diagnosis. Magnetic resonance imaging (MRI) scans were retrospectively revie wed at our centre.”