AWS Machine Learning Blog

December 2020 Update – The Wildcard and warmup races are complete and the Round 1 Knockouts are officially underway, streaming live on Twitch. In this round, competitors participate in a brand-new live racing format on the AWS DeepRacer console. Racers submit their best models from anywhere in the world and attempt to navigate the track, […]

September 2021: This blog has been updated to include three recently launched accuracy metrics in Amazon Forecast and the ability to select an accuracy metric to optimize AutoML. We’re excited to announce that you can now measure the accuracy of your forecasting model to optimize the trade-offs between under-forecasting and over-forecasting costs, giving you flexibility in […]

Processing incoming documents such as contracts and agreements is often an arduous task. The typical workflow for reviewing signed contracts involves loading, reading, and extracting contractual terms from agreements, which requires hours of manual effort and intensive labor. At AWS Finance and Global Business Services (AWS FGBS), this process typically takes more than 150 employee […]

Amazon Polly is launching a new Australian English voice, Olivia. Amazon Polly turns text into lifelike speech, allowing you to build speech-enabled products. Building upon the existing Australian English Standard voices, Nicole and Russell, Olivia is the first Australian English voice in Amazon Polly powered by the Neural Text-to-Speech (NTTS) technology. The NTTS voices in […]

October 2022: This post was reviewed and updated to include updates from Amazon SageMaker’s recently released SourceIdentity feature and renaming of AWS SSO to IAM Identity Center. Amazon SageMaker is a fully managed service that provides every machine learning (ML) developer and data scientist with the ability to build, train, and deploy ML models quickly. […]

Amazon Polly turns text into lifelike speech, allowing you to create applications that talk and build entirely new categories of speech-enabled products. We’re thrilled to announce the launch of a brand-new, British Newscaster speaking style voice: Amy. The speaking style mimics a formal and authoritative British newsreader. This Newscaster voice is the result of our […]

Support for AWS DeepComposer will be ending soon. Please see Support for AWS DeepComposer ending soon for more details. AWS is excited to announce the winner of the AWS DeepComposer Chartbusters The Sounds of Science Challenge, Sungin Lee. AWS DeepComposer gives developers a creative way to get started with machine learning (ML). In June, we […]

Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). SageMaker Studio lets data scientists spin up Studio notebooks to explore data, build models, launch Amazon SageMaker training jobs, and deploy hosted endpoints. Studio notebooks come with a set of pre-built images, which consist of the Amazon SageMaker Python SDK […]

While performing machine translations, you may have situations where you wish to preserve specific sections of text from being translated, such as names, unique identifiers, or codes. We at the Amazon Translate team are excited to announce a tag modifications that allows you to specify what text should not be translated. This feature is available […]

The pandemic has changed how people interact, how we receive information, and how we get help. It has shifted much of what used to happen in-person to online. Many of our customers are using machine learning (ML) technology to facilitate that transition, from new remote cloud contact centers, to chatbots, to more personalized engagements online. […]