AWS Machine Learning

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 […]

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 […]

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 […]

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 t […]

When Electronic Caregiver’s founder and CEO, Anthony Dohrmann, started the company a decade ago, he was reacting to a difficult situation faced by 100 million Americans and countless individuals globally: the c […]

Customers often ask us how to get started when they do not have a deep data science and machine learning (ML) background. At AWS, our goal is to put ML in the hands of every developer and data scientist.
AWS Tr […]

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 […]

Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning. It offers easy access to public and private human labelers, and provides them with built-in workflows and […]

When CEO Josh Churlik co-founded Well Data Labs in 2014, he was acutely aware of a bizarre dichotomy in his industry: For oil and gas companies, “downhole” innovation (that is, what happens underground) far exc […]

The growth of artificial intelligence could create 58 million net new jobs in the next few years, states the World Economic Forum [1]. Yet, according to the Tencent Research Institute, it’s estimated that c […]

The housing market is complex.  There is a continuously changing supply of student housing units around any given education campus. Moreover, the accepted value of a unit continuously changes based on physical […]

Voice-powered experiences are gaining traction and customer love. Volley is at the cutting edge of voice-controlled entertainment with its series of popular smart-speaker games, and many aspects of Volley rely on […]

Course Hero is an online learning platform that provides students access to over 25 million course-specific study materials, including study guides, class notes, and practice problems for numerous subjects. The […]

Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances, and reduce the cost of running deep learning inference by up to 75 percent. The EI […]

Deep learning (DL) frameworks enable machine learning (ML) practitioners to build and train ML models. However, the process of deploying ML models in production to serve predictions (also known as inferences) in […]

Remember the screech of the dial-up and plain-text websites? It was in that era that the Amazon.com website launched in the summer of 1995.
Like the rest of the web, Amazon.com has gone through a digital […]

Amazon Transcribe is a fully-managed automatic speech recognition (ASR) service that makes it easy for developers to add speech-to-text capabilities to applications. Depending on your use case, you may have […]

Listening to your Microsoft Word documents as audio is a great way to save time or to be productive on a long commute. You can easily convert an entire block of text into MP3 format with Amazon Polly. But you can […]

Training and inference are crucial components of a machine learning (ML) development cycle. During the training phase, you teach a model to address a specific problem. Through this process, you obtain binary model […]

Apache MXNet is an open-source deep learning software framework used to train and deploy deep neural networks. Data scientists and machine learning (ML) developers love MXNet due to its flexibility and e […]