Favorite Artificial intelligence (AI) and machine learning (ML) have seen widespread adoption across enterprise and government organizations. Processing unstructured data has become easier with the advancements in natural language processing (NLP) and user-friendly AI/ML services like Amazon Textract, Amazon Transcribe, and Amazon Comprehend. Organizations have started to use AI/ML services
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Shared by AWS Machine Learning October 5, 2023
Favorite Prior authorization is a crucial process in healthcare that involves the approval of medical treatments or procedures before they are carried out. This process is necessary to ensure that patients receive the right care and that healthcare providers are following the correct procedures. However, prior authorization can be a
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Shared by AWS Machine Learning October 4, 2023
Favorite Healthcare and life sciences (HCLS) customers are adopting generative AI as a tool to get more from their data. Use cases include document summarization to help readers focus on key points of a document and transforming unstructured text into standardized formats to highlight important attributes. With unique data formats
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Shared by AWS Machine Learning October 4, 2023
Favorite Analyzing medical images plays a crucial role in diagnosing and treating diseases. The ability to automate this process using machine learning (ML) techniques allows healthcare professionals to more quickly diagnose certain cancers, coronary diseases, and ophthalmologic conditions. However, one of the key challenges faced by clinicians and researchers in
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Shared by AWS Machine Learning October 4, 2023
Favorite Posted by Carlos Esteves and Ameesh Makadia, Research Scientists, Google Research, Athena Team Typical deep learning models for computer vision, like convolutional neural networks (CNNs) and vision transformers (ViT), process signals assuming planar (flat) spaces. For example, digital images are represented as a grid of pixels on a plane.
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Shared by Google AI Technology October 4, 2023
Favorite Android 14 is here with personal, protective and accessible features that put users first and celebrate their individuality. View Original Source (blog.google/technology/ai/) Here.
Favorite Over the 25 years of OSI operation, our understanding of what makes an Open Source license successful, and what things cause problems, has evolved considerably. Ideas that were interesting experiments in 2002 have been shown not to work, and provisions like patent grants have been shown to be necessary.
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Shared by voicesofopensource October 3, 2023
Favorite This is Part 3 of our series where we design and implement an MLOps pipeline for visual quality inspection at the edge. In this post, we focus on how to automate the edge deployment part of the end-to-end MLOps pipeline. We show you how to use AWS IoT Greengrass
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Shared by AWS Machine Learning October 2, 2023
Favorite In Part 1 of this series, we drafted an architecture for an end-to-end MLOps pipeline for a visual quality inspection use case at the edge. It is architected to automate the entire machine learning (ML) process, from data labeling to model training and deployment at the edge. The focus
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Shared by AWS Machine Learning October 2, 2023
Favorite A successful deployment of a machine learning (ML) model in a production environment heavily relies on an end-to-end ML pipeline. Although developing such a pipeline can be challenging, it becomes even more complex when dealing with an edge ML use case. Machine learning at the edge is a concept
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Shared by AWS Machine Learning October 2, 2023
Shared by AWS Machine Learning October 5, 2023
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