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If organizations can easily analyze unstructured data streams, like live video and images, they can more effectively leverage information from the physical world to create intelligent  business applications. Retailers can improve shelf management by instantly spotting what products are out of stock, manufacturers can  reduce product defects by detecting production errors in real time, and …

Read more “Vertex AI Vision: Easily build and deploy computer vision applications at scale”

Posted by Kedem Snir, Software Engineer, and Gal Elidan, Senior Staff Research Scientist, Google Research Whether it’s a professional honing their skills or a child learning to read, coaches and educators play a key role in assessing the learner’s answer to a question in a given context and guiding them towards a goal. These interactions …

Read more “Natural Language Assessment: A New Framework to Promote Education”

Today Amazon SageMaker announced the support of Grid search for automatic model tuning, providing users with an additional strategy to find the best hyperparameter configuration for your model. Amazon SageMaker automatic model tuning finds the best version of a model by running many training jobs on your dataset using a range of hyperparameters that you …

Read more “Amazon SageMaker Automatic Model Tuning now supports grid search”

Amazon SageMaker Serverless Inference is a purpose-built inference option that makes it easy for you to deploy and scale machine learning (ML) models. It provides a pay-per-use model, which is ideal for services where endpoint invocations are infrequent and unpredictable. Unlike a real-time hosting endpoint, which is backed by a long-running instance, compute resources for …

Read more “Introducing the Amazon SageMaker Serverless Inference Benchmarking Toolkit”