AWS Machine Learning Blog

Using Amazon Textract with Amazon Augmented AI for processing critical documents

Documents are a primary tool for record keeping, communication, collaboration, and transactions across many industries, including financial, medical, legal, and real estate. For example, millions of mortgage applications and hundreds of millions of tax forms are processed each year. Documents are often unstructured, which means the content’s location or format may vary between two otherwise […]

Translating your website or application automatically with Amazon Translate in your CI/CD pipeline

AWS allows you to deploy websites and applications globally in minutes. This means that both large enterprises and individual developers can reach users, and thus potential customers, all over the world. However, to provide the best experience, you should not only serve content close to your customers, but also make that content available in their […]

AWS IQ waives fees until June 30, 2020, to help you stand up and scale remote work initiatives

The recent post Working from Home? Here’s How AWS Can Help shared several ways AWS is helping you set up and scale remote work and work-from-home initiatives. Getting these solutions set up is sometimes best—and achieved more quickly—with expert help. You can get the help you need with AWS IQ, which connects you to AWS […]

Spanish Newscaster speaking style now available in Amazon Polly

Amazon Polly is launching its first non-English Newscaster speaking style voice, Lupe. This female US Spanish voice is the third Newscaster speaking style voice in Amazon Polly, following the launches of US English voices Matthew and Joanna. All Newscaster voices are made possible by the Neural Text-to-Speech (NTTS) technology of Amazon Polly. News content is […]

Reduce inference costs on Amazon EC2 for PyTorch models with Amazon Elastic Inference

Note: Amazon Elastic Inference is no longer available. Please see Amazon SageMaker for similar capabilities. You can now use Amazon Elastic Inference to accelerate inference and reduce inference costs for PyTorch models in both Amazon SageMaker and Amazon EC2. PyTorch is a popular deep learning framework that uses dynamic computational graphs. This allows you to […]

Amazon Translate added to Memsource Translate, Memsource’s machine translation management feature

This is a guest post from Memsource. In their own words, “By leading the industry in AI-powered translation technology, we make localization easier, faster, and more cost-effective.” Memsource and Amazon Translate are strengthening their partnership. You can now use Amazon Translate with Memsource Translate, Memsource’s machine translation (MT) management feature. Many Memsource users share a […]

Bring your own model for Amazon SageMaker labeling workflows with active learning

With Amazon SageMaker Ground Truth, you can easily and inexpensively build accurately labeled machine learning (ML) datasets. To decrease labeling costs, SageMaker Ground Truth uses active learning to differentiate between data objects (like images or documents) that are difficult and easy to label. Difficult data objects are sent to human workers to be annotated and […]

Optimizing Japanese text-to-speech with Amazon Polly

Amazon Polly is a cloud service that offers text-to-speech (TTS), a system that converts text input into a waveform, in a range of 61 voices in 29 languages by using advanced deep learning technologies. The Amazon Polly service supports companies in developing digital products that use speech synthesis for a variety of use cases, including […]

Introducing recommendation scores in Amazon Personalize

Amazon Personalize enables you to personalize your website, app, ads, emails, and more, using the same machine learning technology as used by Amazon.com, without requiring any prior machine learning experience. Using Amazon Personalize, you can generate personalized recommendations for your users through a simple API interface. We are pleased to announce that Amazon Personalize now […]