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    Melbourne Sexual Health Center Reports Findings in Machine Learning (Clinical fe atures-based machine learning models to separate sexually transmitted infections from other skin diagnoses)

    68-69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 Machine Learning is the subject of a report. According to news reporting from Melbourne, Australia, by NewsRx journalists, research stated, “Many sexual health services are overwhelm ed and cannot cater for all the individuals who present with sexually transmitte d infections (STIs). Digital health software that separates STIs from non-STIs c ould improve the efficiency of clinical services.”

    New Findings from Tsinghua University in the Area of Robotics Published (Develop ment of Mobile Manipulator Robot System with Embodied Intelligence)

    69-70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 Beijing, People's Republic of China, by NewsRx editors, research stated, “Embodied intelligence stands as a strategic technology in the ongoing scientific and technological revolution, for ming a frontier in global competition.”

    Researchers from University of Michigan Discuss Findings in Robotics (Lumped-par ameter Modeling and Control for Robotic High-viscosity Fluid Deposition)

    70-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Robotics have been pr esented. According to news reporting originating from Ann Arbor, Michigan, by Ne wsRx correspondents, research stated, “Robotic high-viscosity fluid deposition p lays a pivotal role in various manufacturing applications including adhesive and sealant dispensing, as well as in the additive manufacturing of deformable mate rials, such as those employed in soft robotics. Uncompensated high-viscosity flu id deposition can lead to poor part quality and defects due to large transient d elays and complex fluid dynamics.”

    Study Data from Carleton University Update Understanding of Robotics (Improved A ccuracy and Contact Stability In Robotic Contouring With Simultaneous Registrati on and Machining)

    71-71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 Robotics are disc ussed in a new report. According to news reporting out of Ottawa, Canada, by New sRx editors, research stated, “Poor workpiece registration is a limiting factor in robotic machining. Force control can correct for path errors; however, contro ller tuning is difficult as machining quality depends on disparate goals.”

    National Research Council Reports Findings in Breast Cancer (Adaptive Machine Le arning Approach for Importance Evaluation of Multimodal Breast Cancer Radiomic Features)

    72-72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 Oncology-Breast Canc er is the subject of a report. According to news reporting originating from Pisa, Italy, by NewsRx correspondents, research stated, “Breast cancer holds the hig hest diagnosis rate among female tumors and is the leading cause of death among women. Quantitative analysis of radiological images shows the potential to addre ss several medical challenges, including the early detection and classification of breast tumors.”

    Findings from Hunan University Broaden Understanding of Robotics (A Fast Online Planning Under Partial Observability Using Information Entropy Rewards)

    73-74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 Robotics is now availab le. According to news reporting out of Changsha, People's Republic of China, by NewsRx editors, research stated, “Motion planning in an unknown environment is a common challenge because of the existing uncertainties. Representatively, the p artially observable Markov decision process (POMDP) is a general mathematical fr amework for planning in uncertain environments.”

    Investigators from Technical University of Denmark (DTU) Release New Data on Mac hine Learning (Differentiable Machine Learningbased Modeling for Directly-modul ated Lasers)

    73-73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 Machine Learning are discussed in a new report. According to news reporting originating in Lyngby, Denmark, by NewsRx journalists, research stated, “End-to-end learning has beco me a popular method for joint transmitter and receiver optimization in optical c ommunication systems. Such approach may require a differentiable channel model, thus hindering the optimization of links based on directly modulated lasers (DML s).”

    Reports Outline Robotics Study Findings from Harbin Engineering University (Octo pus Predation-Inspired Underwater Robot Capable of Adsorption through Opening and Closing Claws)

    74-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on robotics have bee n published. According to news reporting out of Harbin, People's Republic of Chi na, by NewsRx editors, research stated, “Underwater unmanned robots are an essen tial tool for human underwater exploration and detection and are widely employed in a variety of underwater operational settings.”

    University of Brawijaya Researchers Highlight Research in Machine Learning (Imputation of missing microclimate data of coffee-pine agroforestry with machine learning)

    75-76页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news reporting from the University of Brawi jaya by NewsRx journalists, research stated, “This research presents a comprehen sive analysis of various imputation methods for addressing missing microclimate data in the context of coffee-pine agroforestry land in UB Forest.”

    New Neural Computation Study Findings Recently Were Reported by a Researcher at Auburn University (Toward Improving the Generation Quality of Autoregressive Slot VAEs)

    76-77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 ne ural computation. According to news reporting out of Auburn University by NewsRx editors, research stated, “Unconditional scene inference and generation are cha llenging to learn jointly with a single compositional model. Despite encouraging progress on models that extract object-centric representations (“slots”) from i mages, unconditional generation of scenes from slots has received less attention .”