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    New study uses machine learning to bridge the reality gap in quantum devices

    1-2页
    查看更多>>摘要:A study led by the University of Oxford has used the power of machine learning to overcome a keychallenge affecting quantum devices. For the first time, the findings reveal a way to close the ‘reality gap’:the difference between predicted and observed behaviour from quantum devices. The results have beenpublished in Physical Review X.

    Data on Machine Learning Reported by David McDonald and Colleagues (Cobdock: an accurate and practical machine learningbased consensus blind docking method)

    2-3页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is the subject of a report. According to newsreporting originating in Birmingham, United Kingdom, by NewsRx journalists, research stated, “Probingthe surface of proteins to predict the binding site and binding affinity for a given small molecule is a criticalbut challenging task in drug discovery. Blind docking addresses this issue by performing docking on bindingregions randomly sampled from the entire protein surface.”

    Data from Wuhan University Provide New Insights into Machine Learning (Machine Learning and Copula-based Analysis of Past Changes In Global Droughts and Socioeconomic Exposures)

    3-3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 from Hubei, People’s Republic of China, by NewsRx correspondents, research stated,“The intensification of the hydrological cycle has altered the spatiotemporal redistribution of terrestrialwater storage (TWS). The long-term evolutionary mechanism controlling global TWS droughts and theirbivariate risks (i.e., drought and severity) remain uncertain.”

    Imperial College London Reports Findings in Robotics (Human robotic surgery with intraoperative tissue identification using rapid evaporation ionisation mass spectrometry)

    4-4页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Robotics is the subject of a report. According to news reportingout of London, United Kingdom, by NewsRx editors, research stated, “Instantaneous, continuous, andreliable information on the molecular biology of surgical target tissue could significantly contribute to theprecision, safety, and speed of the intervention. In this work, we introduced a methodology for chemicaltissue identification in robotic surgery using rapid evaporative ionisation mass spectrometry.”

    Studies from Al-Farabi Kazakh National University Add New Findings in the Area of Machine Translation (The Task of Post-Editing Machine Translation for the Low-Resource Language)

    5-5页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in machine translation. According to news reportingfrom Almaty, Kazakhstan, by NewsRx journalists, research stated, “In recent years, machine translation hasmade significant advancements; however, its effectiveness can vary widely depending on the language pair.Languages with limited resources, such as Kazakh, Uzbek, Kalmyk, Tatar, and others, often encounterchallenges in achieving high-quality machine translations.”

    Chinese Research Academy of Environmental Sciences Researchers Reveal New Findings on Machine Learning (High-spatiotemporalresolution mapping of PM2.5 traffic source impacts integrating machine learning and source-specific multipollutant ...)

    6-6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 reportingout of Beijing, People’s Republic of China, by NewsRx editors, research stated, “Traffic sources are a majorcontributor to fine particulate matter (PM2.5) pollution, with their emissions and diffusion exhibitingcomplex spatiotemporal patterns.”

    Skane University Hospital Reports Findings in Artificial Intelligence [Evaluation of CINA® LVO artificial intelligence software for detection of large vessel occlusion in brain CT angiography]

    7-7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 newsoriginating from Lund, Sweden, by NewsRx correspondents, research stated, “To systematically evaluatethe ability of the CINA® LVO software to detect large vessel occlusions eligible for mechanical thrombectomyon CTA using conventional neuroradiological assessment as gold standard. Retrospectively, twohundred consecutive patients referred for a brain CTA and two hundred patients that had been subject forendovascular thrombectomy, with an accessible preceding CTA, were assessed for large vessel occlusions(LVO) using the CINA® LVO software.”

    Studies from RWTH Aachen University Describe New Findings in Androids (Gaze-cues of Humans and Robots On Pedestrian Ways)

    8-9页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Robotics - Androids is now available. According to news reporting out of Aachen, Germany, by NewsRx editors, research stated, “Delivery robots and personal cargo robotsare increasingly sharing space with incidentally co-present persons (InCoPs) on pedestrian ways facing thechallenge of socially adequate and safe navigation. Humans are able to effortlessly negotiate this sharedspace by signalling their skirting intentions via non-verbal gaze cues.”

    Research Data from University of Wisconsin Update Understanding of Machine Learning (Multi-principal Element Alloy Discovery Using Directed Energy Deposition and Machine Learning)

    8-8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 Machine Learning. According to news reporting fromMadison, Wisconsin, by NewsRx journalists, research stated, “Multi-principal element alloys open largecomposition spaces for alloy development. The large compositional space necessitates rapid synthesis andcharacterization to identify promising materials, as well as predictive strategies for alloy design.”

    Studies from Ho Chi Minh City University of Education Add New Findings in the Area of Machine Learning (A Comparative Study On Full-energy Peak Efficiency Calibration Methods for Hpge Detector: Virtual Point Detector, Curve Fitting, and Machine ...)

    9-10页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is the subject of a report. According to newsoriginating from Ho Chi Minh City, Vietnam, by NewsRx correspondents, research stated, “This paperpresents a comparative study of three models including virtual point detector (VPD), curve fitting (CF),and machine learning (ML) in determining the full-energy peak efficiency (FEPE) of HPGe (High Purity Germanium) detector with different energy point sources located on the symmetric axis of the detector atdifferent source-to-detector distances. Firstly, the FEPEs were determined for energies spanning from 40keV to 2500 keV and distances ranging from 1.88 cm to 25.68 cm, utilizing the MCNP6 code.”