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    Studies from ICT Research Institute Provide New Data on Artificial Intelligence (A review of the applications of artificial intelligence in improving the performance of integrated space- air and ground networks)

    47-47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 intelligence have been published. According to newsreporting from Tehran, Iran, by NewsRx journalists, research stated, “According to the technical specificationsof the future generations of telecommunication (the fifth generation and later), which should providenew services with very high data rates in the minimum time and a wide coverage, as well as the exponentialincrease in traffic, the use of combined space-air networks Land is essential.”

    New Machine Learning Study Findings Have Been Reported by a Researcher at University of Alberta (Parametric and Nonparametric Machine Learning Techniques for Increasing Power System Reliability: A Review)

    48-49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 artificial intelligence. According to news reportingoriginating from Edmonton, Canada, by NewsRx correspondents, research stated, “Due to aging infrastructure,technical issues, increased demand, and environmental developments, the reliability of power systemsis of paramount importance.”

    Ghent University Hospital Reports Findings in Artificial Intelligence (Integrating artificial intelligence-based epitope prediction in a SARS-CoV-2 antibody discovery pipeline: caution is warranted)

    49-50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 Intelligence is the subject of a report. According to newsreporting originating from Ghent, Belgium, by NewsRx correspondents, research stated, “SARS-CoV-2-neutralizing antibodies (nABs) showed great promise in the early phases of the COVID-19 pandemic.The emergence of resistant strains, however, quickly rendered the majority of clinically approved nABsineffective.”

    Researcher at Jiangsu Second Normal University Zeroes in on Artificial Intelligence (Transductive classification via patch alignment)

    50-51页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsreporting originating from Nanjing, People’s Republic of China, by NewsRx correspondents, research stated,“In this paper, a novel approach for transductive classification is proposed.”

    Findings from Virginia Polytechnic Institute and State University (Virginia Tech) Broaden Understanding of Machine Learning (Resisting Multiple Advanced Persistent Threats Via Hypergametheoretic Defensive Deception)

    51-52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 Learning have been published. According to newsreporting originating in Falls Church, Virginia, by NewsRx journalists, research stated, “Existing defensivedeception (DD) approaches apply game theory, assuming that an attacker and defender play the same, fullgame with all possible strategies. However, in deceptive settings, players may have different beliefs aboutthe game itself.”

    Researcher from Tiangong University Details Findings in Robotics (Optimization of Smart Textiles Robotic Arm Path Planning: A Model-Free Deep Reinforcement Learning Approach with Inverse Kinematics)

    52-52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 robotics. According to news reporting from Tianjin,People’s Republic of China, by NewsRx journalists, research stated, “In the era of Industry 4.0, optimizingthe trajectory of intelligent textile robotic arms within cluttered configuration spaces for enhancedoperational safety and efficiency has emerged as a pivotal area of research.”

    Studies from Tongji University Have Provided New Data on Robotics and Automation (Ms-net: a Multi-path Sparse Model for Motion Prediction In Multi-scenes)

    53-53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 Robotics - Robotics and Automation. According tonews reporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, researchstated, “The multi-modality and stochastic characteristics of human behavior make motion prediction ahighly challenging task, which is critical for autonomous driving. While deep learning approaches havedemonstrated their great potential in this area, it still remains unsolved to establish a connection betweenmultiple driving scenes (e.g., merging, roundabout, intersection) and the design of deep learning models.”

    Charite - University Medicine Berlin Reports Findings in COVID-19 [Robotic-Assisted In-Bed Mobilization in Ventilated ICU Patients With COVID-19: An Interventional, Randomized, Controlled Pilot Study (ROBEM II Study)]

    54-54页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Coronavirus - COVID-19 is the subject of a report. According to newsreporting from Berlin, Germany, by NewsRx journalists, research stated, “The COVID-19 pandemic significantlyimpacted global healthcare systems, particularly in managing critically ill mechanically ventilatedpatients. This study aims to assess the feasibility of robotic-assisted mobilization in COVID-19 patients.”

    Findings from University of Gothenburg in Robotics Reported (Autonomous last-mile delivery robots: a literature review)

    55-55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 robotics. According to news reporting from theUniversity of Gothenburg by NewsRx journalists, research stated, “This literature review investigates howself-driving autonomous delivery robots (ADRs) impact last-mile deliveries, add value to the logistics andtransport industry, and contribute to creating competitive business models. Autonomous vehicles are stilla developing technology and ADRs could possibly be one of the solutions to the last-mile problem, inparticular in cities and for urban freight with an increasing number of parcels to deliver.”

    Delft University of Technology Reports Findings in Atrial Fibrillation (Data-efficient machine learning methods in the ME-TIME study: Rationale and design of a longitudinal study to detect atrial fibrillation and heart failure from wearables)

    55-56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 Diseases - Atrial Fibrillation is the subject of a report. According to news originating from Delft, Netherlands, by NewsRx correspondents, research stated,“Smartwatches enable continuous and noninvasive time series monitoring of cardiovascular biomarkers likeheart rate (from photoplethysmograms), step counter, skin temperature, et cetera; as such, they havepromise in assisting in early detection and prevention of cardiovascular disease. Although these biomarkersmay not be directly useful to physicians, a machine learning (ML) model could find clinically relevantpatterns.”