AWS Machine Learning Blog

Category: Artificial Intelligence

Harvesting success using Amazon SageMaker to power Bayer’s digital farming unit

By the year 2050, our planet will need to feed ten billion people. We can’t expand the earth to create more agricultural land, so the solution to growing more food is to make agriculture more productive and less resource-dependent. In other words, there is no room for crop losses or resource waste. Bayer is using […]

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Git integration now available for the Amazon SageMaker Python SDK

Git integration is now available in the Amazon SageMaker Python SDK. You no longer have to download scripts from a Git repository for training jobs and hosting models. With this new feature, you can use training scripts stored in Git repos directly when training a model in the Python SDK. You can also use hosting […]

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Using model attributes to track your training runs on Amazon SageMaker

With a few clicks in the Amazon SageMaker console or a few one-line API calls, you can now quickly search, filter, and sort your machine learning (ML) experiments using key model attributes, such as hyperparameter values and accuracy metrics, to help you more quickly identify the best models for your use case and get to […]

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Announcing two new AWS DeepLens sample projects with step-by-step instructions

We are excited to announce the launch of two new sample projects: “Build a worker safety system” and “Who drinks the most coffee?” for AWS DeepLens. These sample projects provide guided instructions on how to use computer vision to build a complete machine learning application on AWS. The applications span the edge and the cloud, […]

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AWS DeepRacer Scholarship Challenge from Udacity is now open for enrollment

The race is on! Start your engines! The AWS DeepRacer Scholarship Challenge from Udacity is now open for enrollment. As mentioned in our previous post, the AWS DeepRacer Scholarship Challenge program introduces you—no matter what your developer skill levels are—to essential machine learning (ML) concepts in a fun and engaging way. Each month, you put […]

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Financially empowering Generation Z with behavioral economics, banking, and AWS machine learning

This is a guest blog post by Dante Monaldo, co-founder and CTO of Pluto Money Pluto Money, a San Francisco-based startup, is a free money management app that combines banking, behavioral economics, and machine learning (ML) to guide Generation Z towards their financial goals in college and beyond. We’re building the first mobile bank designed […]

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Creating magical listening experiences with BlueToad and Amazon Polly

This is a guest blog post by Paul DeHart, co-owner and CEO, BlueToad. BlueToad, one of the leading global providers of digital content solutions, prioritizes innovation. Since 2017, we have enabled publishers (our customers) to provide audio versions of articles found in their digital magazines using Amazon Polly. We see that novel content experiences engage today’s […]

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Breaking news: Amazon Polly’s Newscaster voice and more authentic speech, launching today

For a long time, it was only in science fiction that machines verbalized emotions. As of today, Amazon Polly is one step closer to changing that. As we work on Amazon Polly, we’re constantly seeking to improve the voices. We hope you’ll agree that today’s announcement of not only Neural Text-to-Speech (NTTS) but also the […]

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Running Amazon Elastic Inference Workloads on Amazon ECS

Amazon Elastic Inference (EI) is a new service launched at re:Invent 2018. Elastic Inference reduces the cost of running deep learning inference by up to 75% compared to using standalone GPU instances. Elastic Inference lets you attach accelerators to any Amazon SageMaker or Amazon EC2 instance type and run inference on TensorFlow, Apache MXNet, and […]

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Building, training, and deploying fastai models with Amazon SageMaker

Deep learning is changing the world. However, much of the foundation work, such as building containers, can slow you down. This post describes how you can build, train, and deploy fastai models into Amazon SageMaker training and hosting by using the Amazon SageMaker Python SDK and a PyTorch base image. This helps you avoid the […]

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