Artificial Intelligence
Category: Artificial Intelligence
Announcing New AWS Deep Learning AMI for Amazon EC2 P3 Instances
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 […]
Research Spotlight: BMXNet – An Open Source Binary Neural Network Implementation Based On MXNet
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 […]
How Astro Built Astrobot Voice, a Chatbot for Email
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 […]
Convert Your Text into an MP3 File with Amazon Polly and a Simple Python Script
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 […]
AWS Deep Learning AMI Now Supports PyTorch, Keras 2 and Latest Deep Learning Frameworks
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 Expands to the Asia Pacific (Tokyo) Region and Adds Two New Voices
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. […]
Introducing Gluon — An Easy-to-Use Programming Interface for Flexible Deep Learning
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, […]
Introducing NNVM Compiler: A New Open End-to-End Compiler for AI Frameworks
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 […]
Capture and Analyze Customer Demographic Data Using Amazon Rekognition & Amazon Athena
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.
Using Amazon Polly to Provide Real-Time Home Monitoring Alerts
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 […]





