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Robotics & Machine Learning Daily News

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    Patent Application Titled 'Quantum System Selection Via Coupling Map Comparison' Published Online (USPTO 20240037439)

    142-147页
    查看更多>>摘要:According to news reporting originating from Washington, D.C., by NewsRx journalists, a patent application by the inventors Flother, Frederik Frank (Schlieren, CH); Rastunkov, Vladimir (Mundelein, IL, US); Werner, John S. (Fishkill, NY, US), filed on July 27, 2022, was made available online on February 1, 2024. No assignee for this patent application has been made.

    Trait prediction through computational intelligence and machine learning applied to soybean (Glycine max) breeding in shaded environments

    147-147页
    查看更多>>摘要:According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from biorxiv.org: “This study aims to identify more relevant predictors traits, considering different prediction approaches in soybean under different shading levels in the field, using methodologies based on artificial intelligence and machine learning. The experiments were carried out under different shading levels in a greenhouse and in the field, using sixteen cultivars.

    Identification of genes involved in Kranz anatomy evolution of nonmodel grasses using unsupervised machine learning

    147-148页
    查看更多>>摘要:According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from biorxiv.org: “Kranz syndrome is a set of leaf anatomical and functional characteristics of species using C4 photosynthesis. “The current model for the evolution of C4 photosynthesis from a C3 ancestor proposes a series of gradual anatomical changes followed by a biochemical adaptation of the C4 cycle enzymatic machinery.