AWS Machine Learning Blog

Category: Artificial Intelligence

Schedule an appointment in Office 365 using an Amazon Lex bot

You can use chatbots for automating tasks such as scheduling appointments to improve productivity in enterprise and small business environments. In this blog post, we show how you can build the backend integration for an appointment bot with the calendar software in Microsoft Office 365 Exchange Online. For scheduling appointments, the bot interacts with the […]

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Third time lucky for the winner of AWS DeepRacer League in Chicago and new world records at re:MARS

The AWS DeepRacer League is the world’s first global autonomous racing league, open to anyone. Developers of all skill levels can compete in person at 22 AWS events globally, or online via the AWS DeepRacer console, for a chance to win an expense paid trip to re:Invent 2019, where they will race to win the […]

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Creating a recommendation engine using Amazon Personalize

This is a guest blog post by Phil Basford, lead AWS solutions architect, Inawisdom. At re:Invent 2018, AWS announced Amazon Personalize, which allows you to get your first recommendation engine running quickly, to deliver immediate value to your end user or business. As your understanding increases (or if you are already familiar with data science), […]

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Build your own real-time voice translator application with AWS services

Just imagine—you say something in one language, and a tool immediately translates it to another language. Wouldn’t it be even cooler to build your own real-time voice translator application using AWS services? It would be similar to the Babel fish in The Hitchhiker’s Guide to the Galaxy: “The Babel fish is small, yellow, leech-like—and probably […]

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Announcing AWS DeepLens (2019 Edition): Now available for pre-order in seven new countries

We’re pleased to announce AWS DeepLens (2019 Edition), an update to the world’s first machine learning–enabled video camera. The new AWS DeepLens (2019 Edition) is available to purchase in the US and for the first time in seven new countries: UK, Germany, France, Spain, Italy, Japan, and Canada. We have improved the hardware and software […]

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Amazon SageMaker Neo Helps Detect Objects and Classify Images on Edge Devices

Nomura Research Institute (NRI) is a leading global provider of system solutions and consulting services in Japan and an APN Premium Consulting Partner. NRI is increasingly getting requests to help customers optimize inventory and production plans, reduce costs, and create better customer experiences. To address these demands, NRI is turning to new sources of data, specifically […]

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Amazon SageMaker Neo Enables Pioneer’s Machine Learning in Cars

Pioneer Corp is a Japanese multinational corporation specializing in digital entertainment products. Pioneer wanted to help their customers check road and traffic conditions through in-car navigation systems. They developed a real-time, image-sharing service to help drivers navigate. The solution analyzes photos, diverts traffic, and sends alerts based on the observed conditions.  Because the pictures are of […]

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AWS DeepRacer League: The June race gets underway, as the first Virtual Circuit champion is crowned!

The AWS DeepRacer League is the world’s first global autonomous racing league, open to anyone. Developers of all skill levels can get hands on with machine learning in a fun and exciting way, racing for prizes and glory at 21 events globally and online via the DeepRacer console. The Virtual Circuit launched at the end […]

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Turning unstructured text into insights with Bewgle powered by AWS

Bewgle is an SAP.iO, Techstars-funded company that uses AWS services to surface insights from user-generated text and audio streams. Bewgle generates insights to help product managers to increase customer satisfaction and engagement with their various products—beauty, electronics, or anything in between.  By listening to the voices of their customers with the help of Bewgle powered […]

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Creating neural time series models with Gluon Time Series

by Jan Gasthaus, Alexander Alexandrov, Michael Bohlke-Schneider, Danielle Robinson, David Salinas, Valentin Flunkert, Konstantinos Benidis, Syama Rangapuram, Richard Lee, Jasper Schulz, Lorenzo Stella, Tim Januschowski, and Bernie Wang | on | in Artificial Intelligence, Gluon | Permalink | Comments |  Share

We are excited to announce the open source release of Gluon Time Series (GluonTS), a Python toolkit developed by Amazon scientists for building, evaluating, and comparing deep learning–based time series models. GluonTS is based on the Gluon interface to Apache MXNet and provides components that make building time series models simple and efficient. In this […]

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