查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting originating in Leuven, Belgium, by Ne wsRx journalists, research stated, “The small size of the cochlea, and its locat ion deeply embedded in thick temporal bone, poses a challenge for intra-cochlear guidance and diagnostics. Current radiological imaging techniques are not able to visualize the cochlear microstructures in detail.”
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 artificial intell igence have been published. According to news reporting out of Chang Gung Memori al Hospital and Chang Gung University by NewsRx editors, research stated, “Unsch eduled return visits (URVs) to emergency departments (EDs) are used to assess th e quality of care in EDs. Machine learning (ML) models can incorporate a wide ra nge of complex predictors to identify high-risk patients and reduce errors to sa ve time and cost.”
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 Ma chine Learning. According to news reporting out of Sichuan, People’s Republic of China, by NewsRx editors, research stated, “Plutonium oxycarbide plays a crucia l role in the fabrication of a carbide fuel and the corrosion of plutonium. In t his work, a machine-learning (ML) scheme is used to predict the thermodynamic st ability of plutonium oxycarbide PuOxC1-x.” Funders for this research include National Natural Science Foundation of China ( NSFC), National Natural Science Foundation of China (NSFC), Foundation of Presid ent of China Academy of Engineering Physics, Foundation of Science and Technolog y on Surface Physics and Chemistry Laboratory, Foundation of China Academy of En gineering Physics.
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 robotics. According to news reporting out of Beijing, People’s Republic of China , by NewsRx editors, research stated, “Redundant robots can complete other tasks while performing main task and have excellent motion performance. Although redu ndant robots have redundancy characteristics, they may still fall into singular configuration or cannot overcome joint limits due to the limitation of their own structure and motion law.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Robotics have been publi shed. According to news reporting out of Zhengzhou, People’s Republic of China, by NewsRx editors, research stated, “Addressing the challenges of low convergenc e accuracy , stagnation at local optima in the application of the golden jackal optimizer (GJO) to mobile robot path planning, this paper proposes a hybrid stra tegy-based golden jackal optimizer (HGJO) algorithm. The improved algorithm empl oys a pre-decreasing slow nonlinear energy decay strategy to balance the global and local search capabilities.”
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 th e subject of a report. According to news originating from Lille, France, by News Rx correspondents, research stated, “The health product circuit corresponds to t he chain of steps that a medicine goes through in hospital, from prescription to administration. The safety and regulation of all the stages of this circuit are major issues to ensure the safety and protect the well-being of hospitalized pa tients.”
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 - Roboti cs and Automation are discussed in a new report. According to news originating f rom Shanghai, People’s Republic of China, by NewsRx correspondents, research sta ted, “This letter addresses the problem of designing an interception strategy fo r an underactuated uncrewed surface vessel (USV) in the presence of uncertain ex ternal disturbances and unknown internal parameters i.e., linear and nonlinear d amping coefficients, vehicle mass, etc. The interception strategy is developed b ased on the backstepping technique, which guarantees that the relative velocity between the USV and the moving target can globally converge to the desired value .”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented i n a new report. According to news reporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “Closed-chain manipulation occurs when several robot arms perform tasks in cooperation. It is complex to control a dual-arm system because it requires flexible and adaptable operation ability t o realize closed-chain manipulation.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on intelligent systems is the subjec t of a new report. According to news originating from Hangzhou Normal University by NewsRx correspondents, research stated, “This paper aims to support decision -makers improve their ability to accurately capture and represent their judgment in a wide range of situations.”
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 ar tificial intelligence. According to news originating from the University of Elec tro-Communications by NewsRx editors, the research stated, “The Tangram is a dis section puzzle composed of seven polygonal pieces that can form different patter ns.” The news editors obtained a quote from the research from University of Electro-C ommunications: “Solving the Tangram is an irregular shape packing problem known to be NP-hard. This paper investigates the application of four deep-learning arc hitectures-Convolutional Autoencoder, Variational Autoencoder, U-Net, and Genera tive Adversarial Network-specifically designed for solving Tangram puzzles. We e xplore the potential of these architectures in learning the complex spatial rela tionships inherent in Tangram configurations. Our experiments show that the Gene rative Adversarial Network competes well with other architectures and converges considerably faster. We further prove that traditional evaluation metrics based on pixel accuracy often fail in assessing the visual quality of the generated Ta ngram solutions. We introduce a loss function based on a Weighted Mean Absolute Error that prioritizes pixels representing inter-piece sections over those cover ed by individual pieces.”
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