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Separate lines of business or teams with multiple Amazon SageMaker domains

Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) that enables data scientists and developers to perform every step of the ML workflow, from preparing data to building, training, tuning, and deploying models. To access SageMaker Studio, Amazon SageMaker Canvas, or other Amazon ML environments like RStudio on Amazon SageMaker, …

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Operationalize your Amazon SageMaker Studio notebooks as scheduled notebook jobs

Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. In addition to the interactive ML experience, data workers also seek solutions to run notebooks as ephemeral jobs without the need to refactor code as Python modules or learn DevOps tools and best practices …

Cheers to AI: Monarch Tractor Launches First Commercially Available Electric, ‘Driver Optional’ Smart Tractor

Livermore, Calif., renowned for research and vineyards, is plowing in a new distinction: the birthplace of the first commercially available smart tractor. Local startup Monarch Tractor has announced the first of six Founder Series MK-V tractors are rolling off the production line at its headquarters. Constellation Brands, a leading wine and spirits producer and beer …

Deep-learning model extracts important data from health records to assist with personalized medicine

Electronic health records (EHRs) need a new public relations manager. Ten years ago, the U.S. government passed a law that required hospitals to digitize their health records with the intent of improving and streamlining care. The enormous amount of information in these now-digital records could be used to answer very specific questions beyond the scope …