Favorite Defect detection during manufacturing processes is a vital step to ensure product quality. The timely detection of faults or defects and taking appropriate actions are essential to reduce operational and quality-related costs. According to Aberdeen’s research, “Many organizations will have true quality-related costs as high as 15 to 20
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Shared by AWS Machine Learning July 13, 2021
Favorite This post outlines the best practices for provisioning Amazon SageMaker Studio for data science teams and provides reference architectures and AWS CloudFormation templates to help you get started. We use AWS Service Catalog to provision a Studio domain and users. The AWS Service Catalog allows you to provision these
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Shared by AWS Machine Learning July 13, 2021
Favorite Last year, AWS announced the general availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that helps you quickly and easily get started with machine learning (ML). JumpStart hosts 196 computer vision models, 64 natural language processing (NLP) models, 18 pre-built end-to-end solutions, and 19 example notebooks to
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Shared by AWS Machine Learning July 13, 2021
Favorite In this post, we show you how to use Amazon Rekognition and AWS DeepLens to detect, and analyze occupancy in a retail business to optimize workforce utilization. Retailers often need to make decisions to improve the in-store customer experience through personnel management. Having too few or too many employees
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Shared by AWS Machine Learning July 9, 2021
Favorite Amazon SageMaker helps data scientists and developers prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML. SageMaker accelerates innovation within your organization by providing purpose-built tools for every step of ML development, including labeling, data preparation,
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Shared by AWS Machine Learning July 9, 2021
Favorite In this post, you learn how to create a MLOps project to automate the deployment of an Amazon SageMaker endpoint with multiple production variants for A/B testing. You also deploy a general purpose API and testing infrastructure that includes a multi-armed bandit experiment framework. This testing infrastructure will automatically
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Shared by AWS Machine Learning July 9, 2021
Favorite Hugging Face is the technology startup, with an active open-source community, that drove the worldwide adoption of transformer-based models thanks to its eponymous Transformers library. Earlier this year, Hugging Face and AWS collaborated to enable you to train and deploy over 10,000 pre-trained models on Amazon SageMaker. For more
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Shared by AWS Machine Learning July 8, 2021
Favorite At AWS, we love sharing our passion for technology and innovation, and AWS DeepComposer is no exception. This service is designed to help everyone learn about generative artificial intelligence (AI) through the language of music. You can use a sample melody, upload your own melody, or play a tune
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Shared by AWS Machine Learning July 8, 2021
Favorite As people searched for the latest information on COVID-19 last year, including school reopenings and travel restrictions, the BBC recognized they needed to find new ways of bringing their journalism to their audiences. They released a new online tool, the BBC Corona Bot, which uses artificial intelligence to draw
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Shared by Google AI Technology July 8, 2021
Favorite When I was growing up in Brisbane, Aussie Rules football wasn’t offered as a school sport – and there weren’t any professional female role models to look up to and learn from. Despite these limitations, we got resourceful. We organized football games in our lunch breaks with friends, using
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Shared by Google AI Technology July 8, 2021
Shared by AWS Machine Learning July 13, 2021
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