查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Cardiovascular Disease s and Conditions - Abdominal Aortic Aneurysm is the subject of a report. According to news originating from Trieste, Italy, by NewsRx correspondents, research stated, “Computational surgery (CS) is an interdisciplinary field that uses mathematical models and algorithms to focus specifically on operative planning, simulation, and outcomes analysis to improve surgical care provision. As the digital revolution transforms the surgical work environment through broader adoption of artificial intelligence and machine learning, close collaboration between surgeons and computational scientists is not only unavoidable, but will become essential.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Machine Learning. According to news reporting from Maha Sarakham, Thailand, by NewsRx journalists, research stated, “Infection with liver flukes (Opisthorchis viverrini) is partly due to their ability to thrive in habitats in sub-basin areas, causing the intermediate host to remain in the watershed system throughout the year. Spatial mo deling is used to predict water source infections, which involves designing appr opriate area units with hexagonal grids.”
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 originating from Xi’an, People’s Republic of China, by NewsRx correspondents, research stated, “The properties of two-dimensional materials can be controlled with a high degree of freedom through stacking, so it is crucial to explore the relationship between the structures and properties of stacked twodimensional (2D) materials. However, the large material space caused by the high degree of freedom and the large system caused by the m oire effect make density functional theory (DFT) calculations very expensive.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Lung Diseases and Cond itions - Pneumonia is the subject of a report. According to news reporting from Hebei, People’s Republic of China, by NewsRx journalists, research stated, “Eval uating Community-Acquired Pneumonia (CAP) is crucial for determining appropriate treatment methods. In this study, we established a machine learning model using radiomics and clinical features to rapidly and accurately identify Severe Commu nity-Acquired Pneumonia (SCAP).”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Surgery - Arthroplasty is the subject of a report. According to news reporting out of Madrid, Spain, b y NewsRx editors, research stated, “Effective rehabilitation following total kne e arthroplasty (TKA) is crucial for enhancing both range of motion (ROM) and fun ctional outcomes. While robotics has demonstrated its potential in various medical contexts, the evidence on its application in TKA rehabilitation is still scarce.”
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 originating from Shanghai, People’s Republic of C hina, by NewsRx correspondents, research stated, “In this article, a game theore tic non-cooperative dynamic target tracking algorithm that empowers defensive un manned aerial vehicles (UAVs), with directional sensing capabilities to track an d collect information on intrusive UAVs, is proposed. Specifically, defenders aim to maximize the collection of identity information from intruders possessing anti-tracking and evading capabilities, while simultaneously preventing their entry into protected areas.”
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 artificial intelligence. According to news reporting originating from Msida, Malta , by NewsRx correspondents, research stated, “The accumulation of seasurface de bris around the coastal waters of Malta poses significant ecological and environ mental challenges, negatively affecting marine ecosystems and human activities.”
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 originating from Parkville, Australia, by NewsRx editors, the research stated, “Quantum machine learning (QML) is emerging as an application of quantum computing with the potential to deliver quantum advantage, but its realization for practical applications remains impeded by challenges.” Financial supporters for this research include Australian Army Quantum Technology Challenge; Australian Research Council.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Support Vector Machines. According to news reporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “The development of information technology brings diversification of data sources and large-scale data sets and calls for the exploration of distributed learning algorithms. In distributed systems, some local machines may behave abnormally and send arbitrary information to the central machine (known as Byzantine failures), which can invalidate the distributed algorithms based on the assumption of faultless systems.”
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 Chicago, Illinois, by Ne wsRx journalists, research stated, “A combination of machine learned interatomic potentials (MLIPs) and enhanced sampling simulations is used to investigate the activation of methane on a Ni(111) surface. The work entails the development an d iterative refinement of MLIPs, initially trained on a data set constructed via molecular dynamics simulations, supplemented by adaptive biasing forces, to enrich the sampling of catalytically relevant configurations.”
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