AWS Machine Learning Blog

Updated AWS CloudFormation Deep Learning Template Adds New Features and Capabilities

Listen to this post Voiced by Amazon Polly AWS CloudFormation, which creates and configures Amazon Web Services resources with a template, simplifies the process of setting up a distributed deep learning cluster. The AWS CloudFormation Deep Learning template uses the latest updated Amazon Deep Learning AMI (which provides Apache MXNet, TensorFlow, Caffe, Theano, Torch, and CNTK […]

Read More

Use Amazon Rekognition to Build an End-to-End Serverless Photo Recognition System

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Imagine you work for a marketing agency that has tens of thousands of stock images. You find that many images don’t have descriptive file names and others are completely mislabeled. You don’t want to spend hours and hours relabeling them […]

Read More

AWS Collaborates With the National Science Foundation to Foster Innovation

Listen to this post Voiced by Amazon Polly Amazon Web Services and the National Science Foundation (NSF) are collaborating to foster innovation in big data research. Under the AWS Research Initiative (ARI) program, AWS and NSF will respectively support innovative research in the field of Big Data. With the advancements of techniques and technologies such […]

Read More

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! NEW POSTS 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 […]

Read More

Predicting Customer Churn with Amazon Machine Learning

Note: This post has a companion talk that was delivered at AWS re:Invent 2016. Losing customers is costly for any business. Identifying unhappy customers early on gives you a chance to offer them incentives to stay. This post describes using machine learning (ML) for the automated identification of unhappy customers, also known as customer churn […]

Read More

AI Tech Talk: Introducing Amazon Lex – A Service for Building Voice or Text Chatbots

Amazon Lex is a service for building conversational interfaces into any application using voice and text. Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user […]

Read More

Building Better Bots Using Amazon Lex (Part 2)

In Part 1 we reviewed some elementary bot design considerations, built the Amazon Lex CoffeeBot chatbot, and used the Amazon Lex Test console to confirm that CoffeeBot reacted to text input as expected.  In this post, we make some more design decisions to take CoffeeBot to the next level, including voice interaction. Note: The code […]

Read More

Building Better Bots Using Amazon Lex (Part 1)

As Jeff Barr showed in his introductory blog post, 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 […]

Read More

AI Tech Talk: An Overview of AI on the AWS Platform

AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address your different use cases and needs. For developers looking to add managed AI services to their applications, AWS brings natural language understanding (NLU) and automatic speech recognition (ASR) with Amazon Lex, visual search and image recognition with […]

Read More