AWS Machine Learning Blog

Amazon SageMaker pre-built deep learning framework containers now support TensorFlow 1.5 and Apache MXNet 1.0, both of which take advantage of CUDA 9 optimizations for faster performance on SageMaker ml.p3 instances. In addition to performance benefits, this provides access to updated features such as Eager execution in TensorFlow and advanced indexing for NDArrays in MXNet. More […]

Machine learning (ML) methods for the field of computational chemistry are growing at an accelerated rate. Easy access to open-source solvers (such as TensorFlow and Apache MXNet), toolkits (such as RDKit cheminformatics software), and open-scientific initiatives (such as DeepChem) makes it easy to use these frameworks in daily research. In the field of chemical informatics, many […]

April 2023 Update: Starting January 31, 2024, you will no longer be able to access AWS DeepLens through the AWS management console, manage DeepLens devices, or access any projects you have created. To learn more, refer to these frequently asked questions about AWS DeepLens end of life. We are excited to launch a new feature for […]

On February 8, we released the Amazon Polly plugin for WordPress, which enables you to easily voice content and publish podcasts directly from your website. By leveraging audio, you can provide your readers with an alternative way to consume your content and meet the needs of a larger audience. Today, we’re excited to announce that […]

Speech Synthesis Markup Language (SSML) is a standardized markup language that enables developers to modify Text-to-Speech (TTS) audio. With SSML, you can control various vocal characteristics of TTS output, such as pronunciation, speech rate, and other elements, to produce a more natural-sounding voice experience. Today, we are excited to announce a new phonation SSML tag […]

You can now add responses to your Amazon Lex chatbots directly from the AWS Management Console. Use responses to set up dynamic, engaging interactions with your users. Using responses Responses are the final element of a bot’s intent, and are displayed to users after the fulfillment of the intent is complete.  A response might include […]

The AWS Deep Learning AMIs for Ubuntu and Amazon Linux now include the latest versions of TensorFlow (1.5) and Microsoft Cognitive Toolkit (2.4). These frameworks provide support for NVIDIA CUDA 9 and cuDNN 7 drivers. This allows you to take advantage of the mixed-precision training supported by the V100 Volta GPUs powering Amazon EC2 P3 […]

Voiced by Amazon Polly Today AWS in partnership with WP Engine is announcing the release of an Amazon Polly plugin for WordPress. The sample plugin enables WordPress creators to easily add Text-to-Speech capabilities to written content. As voice interaction becomes more common, it’s essential to provide your website’s content in audio formats. And, visitors who […]

Today AWS released version 0.2 of Model Server for Apache MXNet (MMS), an open-source library that packages and serves deep learning models for making predictions at scale. Now you can serve models in Open Neural Network Exchange (ONNX) format and publish operational metrics directly to Amazon CloudWatch, where you can create dashboards and alarms. What […]

ClearView Social enables a company’s employees to share approved content on LinkedIn, Twitter, and other social networks with a single click. It then broadcasts the content to those social networks at peak times, and tracks the resulting engagement with a leaderboard and an analytics dashboard. According to Bill Boulden, CTO of ClearView Social, a key […]