Machine learning news and insights

Introducing medical speech-to-text with Amazon Transcribe Medical 5d

We are excited to announce Amazon Transcribe Medical, a new HIPAA-eligible, machine learning automatic speech recognition (ASR) service that allows developers to add medical speech-to-text capabilities to their applications. Transcribe Medical provides accurate and affordable medical transcription, enabling healthcare providers, IT vendors, insurers, and pharmaceutical companies to build services that help physicians, nurses, researchers, and […]

AWS DeepRacer Evo is coming soon, enabling developers to race their object avoidance and head-to-head models in exciting new racing formats 6d

Since the launch of AWS DeepRacer, tens of thousands of developers from around the world have been getting hands-on experience with reinforcement learning in the AWS Management Console, by building their AWS DeepRacer models and competing in the AWS DeepRacer League for a chance to be crowned the 2019 AWS DeepRacer League Champion. The League […]

Amazon Transcribe now supports speech-to-text in 31 languages 13d

We recently announced that Amazon Transcribe now supports transcription for audio and video for 7 additional languages including Gulf Arabic, Swiss German, Hebrew, Japanese, Malay, Telugu, and Turkish languages.  Using Amazon Transcribe, customers can now take advantage of 31 supported languages for transcription use cases such as improving customer service, captioning and subtitling, meeting accessibility requirements, and cataloging audio […]

Building an interactive and scalable ML research environment using AWS ParallelCluster on 6 November

When it comes to running distributed machine learning (ML) workloads, AWS offers you both managed and self-service offerings. Amazon SageMaker is a managed service that can help engineering, data science, and research teams save time and reduce operational overhead. AWS ParallelCluster is an open-source, self-service cluster management tool for customers who wish to maintain more […]

grCUDA: A Polyglot Language Binding for CUDA in GraalVM on 1 November

Integrating GPU-accelerated libraries into existing software stacks can be challenging, in particular, for applications that are written in high-level scripting languages. Although CUDA-bindings already exist for many programming languages, they have different APIs and vary in functionality. Some are simple wrappers around the CUDA Runtime, others provide higher-level abstractions.      In this blog, I …