AWS Machine Learning Blog

Another month of AI solutions on the AWS AI Blog. Take a look at the summaries below and learn, comment and share. Thank you for reading! NEW POSTS 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 […]

  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 […]

Update: On 17 JUL 2018, Amazon Polly released Asynchronous Synthesis, a new feature that enables you to process up to 100,000 characters of text at a time using asynchronous requests. Read this article for details: Amazon Polly Update – Time-Driven Prosody and Asynchronous Synthesis. Amazon Polly, one of AWS’s first AI services, turns text into lifelike […]

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 […]

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 […]

This year at NVIDIA’s GPU Technology Conference, AWS is hosting several tech sessions ranging from how to get started with Apache MXNet to running deep learning on IoT devices on the edge. If you’re in Silicon Valley the week of May 8, we hope that you’ll join us for the following sessions. An Introduction to […]

Update: SigOpt was acquired by Intel in October of 2020 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 […]

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 […]

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 […]

We are excited to announce that the AWS Deep Learning AMI for Ubuntu now supports the newly launched Caffe2 project led by Facebook. AWS is the best and most open place for developers to run deep learning, and the addition of Caffe2 adds yet another choice. To learn more about Caffe2, check out the the […]