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Showing 1 to 3 of 3 for “"automated deployment"”.

  1. Automated deployment of machine learning applications to the cloud

    The use of machine learning (ML) as a key technology in artificial intelligence (AI) is becoming more and more important in the increasing digitalization of business processes. However, the majority of the development effort of ML applications is not related to the programming of the ML model, but …

    heid-thes Repository record for Automated deployment of machine learning applications to the cloud (opens in a new tab)

  2. Sensitivity analysis of nuclear fuel cycle transitions

    … cycle simulators require the user to define a deployment scheme for all supporting facilities to avoid any supply chain gaps, which becomes tedious for complex transition scenarios. This thesis developed a capability in Cyclus, a nuclear fuel cycle simulator, to automatically deploy fuel cycle …

    uiuc Repository record for Sensitivity analysis of nuclear fuel cycle transitions (opens in a new tab)

  3. Accelerating Materials Discovery with Machine Learning

    … that suggest promising candidates, enabling automated deployment and increased efficiency. Machine learning models are well suited to this task, however, current approaches typically use hand-engineered inputs. This means that their performance is circumscribed by the intuitions reflected in …

    cambridge Repository record for Accelerating Materials Discovery with Machine Learning (opens in a new tab)