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Early-warning signs of marsh decline provided by the model could be crucial for conservation. “Once [marsh] loss occurs, that ...
Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...
Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...
Holographic displays create three-dimensional (3D) images that appear to float in space by manipulating light waves, often ...
As organizations increasingly rely on data-driven decision-making, the need for robust and efficient data infrastructure has become paramount. In industries such as pharmaceutical manufacturing and ...
In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...
Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...
In order to address these challenges, we enhanced a machine-learning model for SOC mapping by developing a data resampling approach that accounts for the soil samples’ spatial heterogeneity, using ...
However, most existing studies focus on using the available local data to jointly build prediction models, facing data security challenges and time complexity, especially with multi-dimensional ...
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