AWS Machine Learning Blog

Join AWS User Group Dublin for an Evening of AI & Deep Learning

  Join Julien Simon, Principal Technical Evangelist at Amazon Web Services, on May 9 for an evening of AI and Deep Learning hosted by the AWS User Group Dublin. The event will feature Amazon Lex, Amazon Polly, and Amazon Rekognition. Julien will take participants on a journey through Deep Learning with AWS covering AI theory to […]

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Create Audiobooks with Amazon Polly and AWS Batch

Amazon Polly, one of AWS’s first AI services, turns text into lifelike speech. By enabling applications to speak, Amazon Polly makes it possible to develop new types of speech-enabled products. For example, many AWS customers have large documents, such as books or reports, that they’d like to convert to speech so they can listen to […]

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Changing Lives with AI: Pollexy (“Polly” + “Lex”), A Special Needs Verbal Assistant

Listen to this post Voiced by Amazon Polly With the emergence of devices like the Amazon Echo and AWS services like Amazon Polly and Amazon Lex, it’s easier to develop integrated voice solutions that can simplify life and make it more enjoyable. In some cases, the resulting innovations can lead to life-changing experiences because the […]

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“In the Research Spotlight”: A New Blog Post Series

In addition to the continued contributions to the AI community through Apache MXNet and the Amazon AI services of Amazon Lex, Amazon Polly, and Amazon Rekognition, AWS also has an active team of AI researchers. These researchers have rich and interesting backgrounds in machine learning and deep learning, from academia, startups, and enterprises, all with […]

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Fast CNN Tuning with AWS GPU Instances and SigOpt

By Steven Tartakovsky, Michael McCourt, and Scott Clark of SigOpt Compared with traditional machine learning models, neural networks are computationally more complex and introduce many additional parameters. This often prevents machine learning engineers and data scientists from getting the best performance from their models. In some cases, it might even dissuade data scientists from using […]

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Amazon and Facebook Collaborate to Optimize Caffe2 for the AWS Cloud

From Apache MXNet to Torch, there is no shortage of frameworks for deep learners to leverage. The various offerings each excel at different aspects of the deep learning pipeline and each meets different developer needs. The research-centric community tends to gravitate toward frameworks such as Theano, Torch and most recently PyTorch, while many in the […]

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Running BigDL, Deep Learning for Apache Spark, on AWS

In recent years, deep learning has significantly improved several AI applications, such as recommendation engines, voice and speech recognition, and image and video recognition. Many customers process the massive amounts of data that feed these deep neural networks in Apache Spark, only to later feed it into a separate infrastructure to train models using popular […]

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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 […]

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