Category: Artificial Intelligence

We are excited about the availability of Apache MXNet version 0.12. Contributors in the MXNet community have collaborated to bring new feature enhancements to users. With this release, MXNet adds two new important features: Support for NVIDIA Volta GPUs, which enable users to dramatically reduce the training and inference time for a neural network model. […]

We’re pleased to announce a new set of AWS Deep Learning AMIs, which come pre-installed with deep learning frameworks optimized for the NVIDIA Volta V100 GPUs in the new Amazon EC2 P3 instance family. The new P3 instances are perfect for deep learning, with eight NVIDIA Volta GPUs available in a single p3.16xlarge instance, which […]

This is guest post by Haojin Yang, Martin Fritzsche, Christian Bartz, Christoph Meinel from the Hasso-Plattner-Institut, Potsdam Germany. We are excited to see research drive practical implementation of deep learning on low power devices. This work plays an important part in expanding powerful intelligent capabilities into our everyday lives. In recent years, deep learning technologies have […]

This is a guest post by Roland Schemers, CTO of Astro Technology, Inc. Astro, in their own words, “creates modern email apps for Mac, iOS and Android, powered by artificial intelligence, built for people and teams. With Astrobot Voice, an in-app email voice assistant, you can now read, manage, and reply to emails without leaving Astro’s […]

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.