Category: Artificial Intelligence

As a cloud communications provider that allows businesses to integrate communications capabilities into their applications, Nexmo, the Vonage API Platform, needed a text-to-speech (TTS) solution to help deliver the many synthesized speech use cases we enable for our customers. The solution that we chose had to meet our technological requirements and product philosophy to power Nexmo’s global TTS offerings.

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. At AWS re:Invent 2017 we announced the AWS DeepLens […]

The AWS Deep Learning AMIs provide fully-configured environments so that artificial intelligence (AI) developers and data scientists can quickly get started with deep learning models. The Amazon Machine Images (AMIs) now include Chainer (v3.4.0), a flexible and intuitive deep learning (DL) framework, as well as the latest versions of Apache MXNet and PyTorch. The Chainer define-by-run […]

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 […]