Category: Artificial Intelligence

Text-to-speech technology can turn any digital text into a multimedia experience, so people can listen to news, blog articles, or even a PDF document, while multitasking or on-the-go. With Amazon Polly, you can convert your RSS feed or email, and store the synthesized speech in the form of audio files. Currently, the Amazon Polly console […]

Today, we’re pleased to announce an update to the AWS Deep Learning AMI. The AWS Deep Learning AMI, which lets you spin up a complete deep learning environment on AWS in a single click, now includes PyTorch, Keras 1.2 and 2.0 support, along with popular machine learning frameworks such as TensorFlow, Caffe2 and Apache MXNet. […]

Amazon Polly is an AWS service that turns text into lifelike speech. Today, we are excited to announce the expansion to the Asia Pacific (Tokyo) Region, as well as the release of two new Text-to-Speech voices. We are pleased to present Takumi, a new Japanese male voice, and Matthew, a new US English male voice. […]

Today, AWS and Microsoft announced a new specification that focuses on improving the speed, flexibility, and accessibility of machine learning technology for all developers, regardless of their deep learning framework of choice. The first result of this collaboration is the new Gluon interface, an open source library in Apache MXNet that allows developers of all skill levels to prototype, […]

You can choose among multiple artificial intelligence (AI) frameworks to develop AI algorithms. You also have a choice of a wide range of hardware to train and deploy AI models. The diversity of frameworks and hardware is crucial to maintaining the health of the AI ecosystem. This diversity, however, also introduces several challenges to AI […]

Millions of customers shop in brick and mortar stores every day. Currently, most of these retailers have no efficient way to identify these shoppers and understand their purchasing behavior. They rely on third-party market research firms to provide customer demographic and purchase preference information.

This blog post walks you how you can use AWS services to identify purchasing behavior of your customers. We show you:

How retailers can use captured images in real time.
How Amazon Rekognition can be used to retrieve face attributes like age range, emotions, gender, etc.
How you can use Amazon Athena and Amazon QuickSight to analyze the face attributes.
How you can create unique insights and learn about customer emotions and demographics.
How to implement serverless architecture using AWS managed services.

This is a guest blog post by Siva K. Syamala, Senior Developer from Y-cam Solutions. In their own words, “Y-cam is a provider of high quality security video solutions, our vision is to make smart home security easy and accessible to all.” Home security is a very important constituent in home automation and the use […]

Autonomous vehicles are poised to take to our roads in massive numbers in the coming years. This has been made possible due to advances in deep learning and its application to autonomous driving. In this post, we take you through a tutorial that shows you how to build a remote control (RC) vehicle that uses […]

In this post, we show how you can embed Amazon Lex into custom hardware using widely available components. We demonstrate how you can build a simple voice-based AI kit and connect it to Amazon Lex. We’ll use a Raspberry Pi and a few off-the-shelf components totaling less than $60. By the end of this blog […]

AWS Training and Certification helps you advance your knowledge with practical skills so you can get more out of the AWS Cloud. We now have two new courses to help you learn about how to leverage artificial intelligence (AI) solutions using AWS: Introduction to Machine Learning web-based training and Deep Learning on AWS instructor-led training. […]