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    Reports Outline Robotics and Automation Findings from Technical University Munic h (TU Munich) (Vision-based Uncertainty-aware Motion Planning Based On Probabili stic Semantic Segmentation)

    92-92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 - Ro botics and Automation have been published. According to news reporting out of Mu nich, Germany, by NewsRx editors, research stated, “For safe operation, a robot must be able to avoid collisions in uncertain environments. Existing approaches for motion planning under uncertainties often assume parametric obstacle represe ntations and Gaussian uncertainty, which can be inaccurate.”

    Studies from University of Washington Have Provided New Information about Roboti cs (Delayed Self-reinforcement To Reduce Deformation During Decentralized Flexib le-object Transport)

    93-93页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news originating from Seattle, Washington, by NewsRx corres pondents, research stated, “Recent works have investigated bio-inspired strategi es to transport objects using decentralized robot networks that only use local m easurements without the need for communication between robots. Typically, there is an inverse relationship between the object deformation and the transport time , i.e., reducing the object deformation requires an increase in the transport ti me needed for transitioning from the initial configuration to the final configur ation of the object.”

    Studies Conducted at University of Florida on Robotics Recently Published (Senso ry manipulation as a countermeasure to robot teleoperation delays: system and ev idence)

    94-94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 originating from the University of Florida by NewsRx editors, the research stated, “In the realm of robotics and automation, robot teleoperation, which facilitates human-machine interaction in distant or h azardous settings, has surged in significance. A persistent issue in this domain is the delays between command issuance and action execution, causing negative r epercussions on operator situational awareness, performance, and cognitive load. ” Funders for this research include National Aeronautics And Space Administration; National Science Foundation.

    Researchers from Mansoura University Report on Findings in Machine Learning (An Enhanced Automatic Arabic Essay Scoring System Based On Machine Learning Algorit hms)

    95-95页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on Machine Learning are presented in a new report. According to news reporting from Mansoura, Egypt, by NewsRx journal ists, research stated, “Despite the extensive effort to improve intelligent educ ational tools for smart learning environments, automatic Arabic essay scoring re mains a big research challenge. The nature of the writing style of the Arabic la nguage makes the problem even more complicated.”

    Data from Hunan University of Arts and Science Broaden Understanding of Machine Learning (Predicting the compressive strength of ultra-high-performance concrete using a decision tree machine learning model enhanced by the integration of two ...)

    96-97页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on artificial intelligence have been published. According to news reporting out of Hunan University of Arts and Science by NewsRx editors, research stated, “The compressive strength (CS) of ultra-high-performance concrete (UHPC) hinges upon the distinct properties, q uantities, and types of its constituent materials.”

    New Artificial Intelligence Study Findings Have Been Reported by Researchers at Aarhus University (Unraveling data from an idea management system of 11 radical innovation portfolios: key lessons and avenues for artificial intelligence ...)

    96-96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 Aarhus University by NewsRx correspondents, research stated, “In strategic and radical innovation, t he degree of uncertainty and the amount of complexity is much higher compared to ‘business as usual’.” Our news editors obtained a quote from the research from Aarhus University: “The refore, idea management systems are often used to support such innovation proces ses. An interesting question is what we can learn from studying data in such ide a management systems and what potential implications we can derive from the inno vation management literature. In this study, we were allowed to access and analy ze data from the same idea management system used in 11 radical innovation proje cts from the years 2012-2018. Our analysis unravels 8 findings that in different ways nuance or challenge current research on innovation management.”

    Report Summarizes Artificial Intelligence Study Findings from James Cook Univers ity (Mapping Remote Roads Using Artificial Intelligence and Satellite Imagery)

    97-98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 out of Cairns, Australia, by NewsR x editors, research stated, “Road building has long been under-mapped globally, arguably more than any other human activity threatening environmental integrity. ” Funders for this research include Canada Research Chair From The Canadian Tri-ag ency Scientific Funding Body; James Cook University; Private Philanthropic Found ation.

    Duke-National University of Singapore Medical School Reports Findings in Artific ial Intelligence (Potential applications of artificial intelligence in image ana lysis in cornea diseases: a review)

    98-99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 out of Singapore, Sing apore, by NewsRx editors, research stated, “Artificial intelligence (AI) is an e merging field which could make an intelligent healthcare model a reality and has been garnering traction in the field of medicine, with promising results. There have been recent developments in machine learning and/or deep learning algorith ms for applications in ophthalmology-primarily for diabetic retinopathy, and age -related macular degeneration.”

    National University of Science and Technology (NUST) Researchers Update Current Study Findings on Machine Learning (Diving Deep With BotLab-DS1: A Novel Ground Truth-Empowered Botnet Dataset)

    99-100页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news reporting out of Islamabad, Pakistan, by Ne wsRx editors, research stated, “Cyberspace faces unparalleled threats due to the rapid rise in botnet attacks and their profound repercussions. Utilizing AI-ass isted systems emerges as a potent solution for detecting and neutralizing such a ttacks.”

    University of Lille Reports Findings in Artificial Intelligence (Symbolic Artifi cial Intelligence to Diagnose Tuberculosis Using Ontology)

    100-100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 originating from Lille, France, by NewsRx correspondents, research stated, “Pulmonary Tuberculosis (PTB) is an i nfectious disease caused by a bacterium called Mycobacterium tuberculosis. This paper aims to create Symbolic Artificial Intelligence (SAI) system to dia gnose PTB using clinical and paraclinical data.”