AWS Machine Learning Blog

Category: Artificial Intelligence*

Build text analytics solutions with Amazon Comprehend and Amazon Relational Database Service

In this blog post, we will show you how to get started building rich text analytics views from your database, without having to learn anything about machine learning for natural language processing models. We’ll do this by leveraging Amazon Comprehend, paired with Amazon Aurora-MySQL and AWS Lambda.

Read More

Build automatic analysis of body language to gauge attention and engagement using Amazon Kinesis Video Streams and Amazon AI Services

This is a guest blog post by Ned T. Sahin, PhD (Brain Power LLC and Harvard University), Runpeng Liu (Brain Power LLC and MIT), Joseph Salisbury, PhD (Brain Power LLC), and Lillian Bu (Brain Power LLC and MIT).  Producers of content (from ads to games to teaching materials) usually judge the success of their content […]

Read More

Use facial recognition to deliver high-end consumer experience with Amazon Kinesis Video Streams and Amazon Rekognition Video

Whatever your use case, real-time face recognition with Kinesis Video Streams and Rekognition Video is easy to set up and doesn’t require expensive hardware. The entire system built here is serverless and Rekognition Video qualifies for the AWS Free Tier.

Read More

AWS Deep Learning AMIs now with optimized TensorFlow 1.7 for faster training on Amazon EC2 C5 and P3 instances

The AWS Deep Learning AMIs for Ubuntu and Amazon Linux now come with TensorFlow 1.7, which is built with advanced optimizations for high-performance training across Amazon EC2 instance families. This is an update to the optimized build of TensorFlow 1.6 that we launched in late March. Faster training with optimized TensorFlow 1.7 The Amazon Machine […]

Read More

Learn about ASLens – A deep learning project that uses AWS DeepLens to translate the American Sign Language alphabet to speech

Chris Coombs travelled all the way from Melbourne, Australia to attend AWS re:Invent 2017. He was delighted to be one of the lucky few to get his hands on AWS DeepLens. He put it to good use by entering the AWS DeepLens Challenge Hackathon. A man of many talents, he is a husband and father […]

Read More

Apache MXNet Model Server adds optimized container images for Model Serving at scale

Today AWS released Apache MXNet Model Server (MMS) v0.3, which streamlines the deployment of model serving for production use cases. The release includes pre-built container images that are optimized for deep learning workloads on GPU and CPU. This enables engineers to set up a scalable serving infrastructure. To learn more about Apache MXNet Model Server […]

Read More

Translate a chat channel using Amazon Translate

Every day millions of users around the world communicate with each other through email, social networks, and other online communities including chat platforms and message boards. Many times, users find a community interesting and want to participate in the chat conversation, but the primary language of the online community might be different than the language […]

Read More

Build smart chat apps with Amazon machine learning APIs and the PubNub ChatEngine

The demand for chat apps is growing wildly. From social apps to business collaboration, in-game chat to customer support, every app needs chat. Chat apps like Telegram are making mainstream news and generating widespread interest.

Historically, building a scalable, feature-rich chat app was surprisingly difficult. Not anymore. PubNub ChatEngine has integrated Amazon machine learning APIs, which makes building intelligent, scalable chat apps super easy for mobile and web.

In this blog post, you’ll learn how to spin up the PubNub ChatEngine and add Amazon Translate and Amazon Polly for cross-lingual, speech-enabled chat apps that you can embed anywhere.

Read More

Create accessible training with Initiafy and Amazon Polly

by Ronan O'Sullivan and Conor McNally | on | in Amazon Polly* | Permalink | Comments |  Share

We’ve become so accustomed to the existence of skyscrapers, road networks, oil rigs, hydroelectric dams, nuclear power plants, wind turbines, suspension bridges, and all the other incredible feats of human engineering populating our world, that some might overlook the remarkable effort that goes into their construction. These projects are not built by robots. A huge amount of human effort is required to bring them into existence, in addition to the technology used to design, streamline, and improve processes.

Initiafy makes the workforce element of projects more productive and efficient. Heavy industry projects rely on contractors, with related management challenges of handling documents, health and safety, and quality control. Initiafy provides contractor management on an online platform, giving workers training in a flexible way and ensuring standards are high across a contingent workforce. Initiafy operates in a number of countries, with workers coming from a number of nationalities so it is vital that training is accessible for all workers.

Read More