AWS Machine Learning Blog

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 […]

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 […]

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 […]

Listen to this post Voiced by Amazon Polly You can now use upgraded versions of Apache MXNet, TensorFlow, CNTK, and Caffe, on the AWS Deep Learning AMI v2.0 for Amazon Linux, including Keras, available in the AWS Marketplace. The Deep Learning AMI v2.0 for Amazon Linux is designed to continue to provide a stable, secure, […]

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 […]

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 […]

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 […]

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 […]

Dr. Matt Wood is the GM of Artificial Intelligence at AWS I 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, we also do a little reminiscing about days gone by. Listen now on SoundCloud Like the […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Amazon Rekognition, one of the first AWS AI services, makes it easy to quickly add sophisticated deep-learning-based visual search and image classification to your applications. With the Rekognition API, you can detect objects, scenes, and faces in images, and search […]