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Now available in Amazon SageMaker: EC2 P3dn GPU Instances

In recent years, the meteoric rise of deep learning has made incredible applications possible, such as detecting skin cancer (SkinVision) and building autonomous vehicles (TuSimple). Thanks to neural networks, deep learning indeed has the…
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Managed Spot Training: Save Up to 90% On Your Amazon SageMaker Training Jobs

Amazon SageMaker is a fully-managed, modular machine learning (ML) service that enables developers and data scientists to easily build, train, and deploy models at any scale. With a choice of using built-in algorithms, bringing your own,…
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Amazon SageMaker RL – Managed Reinforcement Learning with Amazon SageMaker

In the last few years, machine learning (ML) has generated a lot of excitement. Indeed, from medical image analysis to self-driving trucks, the list of complex tasks that ML models can successfully accomplish keeps growing, but what makes…
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Amazon SageMaker Ground Truth – Build Highly Accurate Datasets and Reduce Labeling Costs by up to 70%

In 1959, Arthur Samuel defined machine learning as a “field of study that gives computers the ability to learn without being explicitly programmed”. However, there is no deus ex machina: the learning process requires an algorithm…
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Amazon Elastic Inference – GPU-Powered Deep Learning Inference Acceleration

One of the reasons for the recent progress of Artificial Intelligence and Deep Learning is the fantastic computing capabilities of Graphics Processing Units (GPU). About ten years ago, researchers learned how to harness their massive hardware…
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Amazon SageMaker Adds Batch Transform Feature and Pipe Input Mode for TensorFlow Containers

At the New York Summit a few days ago we launched two new Amazon SageMaker features: a new batch inference feature called Batch Transform that allows customers to make predictions in non-real time scenarios across petabytes of data and…
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Amazon SageMaker Automatic Model Tuning: Using Machine Learning for Machine Learning

Today I’m excited to announce the general availability of Amazon SageMaker Automatic Model Tuning. Automatic Model Tuning eliminates the undifferentiated heavy lifting required to search the hyperparameter space for more accurate models.…
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Amazon SageMaker Updates – Tokyo Region, CloudFormation, Chainer, and GreenGrass ML

Today, at the AWS Summit in Tokyo we announced a number of updates and new features for Amazon SageMaker. Starting today, SageMaker is available in Asia Pacific (Tokyo)! SageMaker also now supports CloudFormation. A new machine learning framework,…
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New – Machine Learning Inference at the Edge Using AWS Greengrass

What happens when you combine the Internet of Things, Machine Learning, and Edge Computing? Before I tell you, let’s review each one and discuss what AWS has to offer.Internet of Things (IoT) – Devices that connect the physical world…