Month in Review: February 2017
The AWS AI Blog launched in February! Take a look at our summaries below and learn, comment, and share. Thanks for reading!
Welcome to the New AWS AI Blog!
If you ask 100 people for the definition of “artificial intelligence,” you’ll get at least 100 answers, if not more. At AWS, we define it as a service or system which can perform tasks that usually require human-level intelligence such as visual perception, speech recognition, decision making, or translation. In this post, learn more about the new AWS AI Blog.
The AWS Deep Learning AMI, Now with Ubuntu
In this blog post, learn how to get started with the AWS Deep Learning AMI for Ubuntu that is now available in the AWS Marketplace in addition to the Amazon Linux version. The AWS Deep Learning AMI lets you run deep learning in the Cloud, at any scale.
Classify a Large Number of Images with Amazon Rekognition and AWS Batch
Many AWS customers who have images stored in S3 want to query for objects and scenes detected by Rekognition. This post describes how to use AWS services to create an application called bucket-rekognition-backfill that cost effectively gets and stores the Rekognition labels (objects, scenes, or concepts) from images stored in an S3 bucket, and processes images that are added to, updated, and deleted from the bucket.
AWS Podcast #175: Artificial Intelligence with Dr. Matt Wood
Matt Wood sat down with Simon Elisha from the AWS Podcast to talk about the emerging world of artificial intelligence. In addition to speaking about Amazon Lex, Amazon Polly, Amazon Rekognition, and Apache MXNet, they also do a little reminiscing about days gone by.
Building Better Bots (Part 1) and Building Better Bots (Part 2)
Amazon Lex is a service that allows developers to build conversational interfaces for voice and text into applications. With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer, so you can quickly and easily build sophisticated, natural language conversational bots (chatbots). Amazon Lex’s advanced deep learning technology provides automatic speech recognition (ASR), for converting speech to text, and natural language understanding (NLU), to recognize the intent of text, so you can build applications with a highly engaging user experience.
Leave a comment below to let us know what topics you’d like to see next on the AWS AI Blog.