Amazon has launched its annual re: Invent conference in Las Vegas and has made three major AI announcements.
During a midnight keynote, Amazon unveiled Transcribe Medical, SageMaker Operators for Kubernetes, and DeepComposer.
The first announcement that we will talk about is likely to have the greatest impact on people's lives.
Transcribe Medical is designed to transcribe medical speech for primary care. The function is aware of medical speech in addition to the standard conversation fiction.
Amazon says that Transcribe Medical can be deployed in “thousands ” of healthcare institutions to provide clinicians with secure note-taking skills.
Transcribe Medical offers an API and can work with most smart devices with microphones. The service is fully managed and returns a stream of text in real time.
In addition, and most importantly, Transcribe Medical is covered by AWS 'HIPAA suitability and the Business Partner Addendum (BAA). This means that any customer entering into a BAA with AWS can use Transcribe Medical to legally process and store personal health information.
SoundLines and Amgen are two partners that already use Transcribe Medical according to Amazon.
Vadim Khazan, president of technology at SoundLines, said in a statement:
“For the 3,500 health care partners who rely on our care team optimization strategies for the past 15 years, we have significantly reduced the time and effort required to get to insightful data.
SageMaker operators for Kubernetes
The next announcement is Amazon SageMaker Operators for Kubernetes.
Amazon's SageMaker is a machine learning development platform and with this new feature data scientists can train, tune and implement AI models with the help of Kubernetes AI models.
SageMaker Operators can be installed on Kubernetes clusters and jobs can be created using Amazon's machine learning platform via the Kubernetes API and command line tools.
In a blog post, AWS wrote in-depth senior product manager Aditya Bindal:
“Customers are now spared the heavy work of integrating their Amazon SageMaker and Kubernetes workflows. Starting today, customers using Kubernetes can make a simple phone call to Amazon SageMaker, a modular and fully managed service that builds, trains, and implements. facilitates machine learning (ML) models on a large scale “.
Amazon says the computer resources are pre-configured and optimized, delivered only when prompted, scaled when needed, and shut down automatically when jobs are completed.
SageMaker Operators for Kubernetes is generally available in AWS server regions such as US East (Ohio), US East (N. Virginia), US West (Oregon) and EU (Ireland).
Finally, we have DeepComposer. This is a bit more fun for those who like to play with hardware toys.
Amazon calls DeepComposer the “first” machine learning music keyboard in the world that is suitable for learning music. The keyboard has 32 keys and two octaves, and is designed for developers to experiment with pre-trained or modified AI models.
In a blog post, AWS AI and machine learning evangelist Julien Simon explains how DeepComposer taps into a Generative Adversarial Network (GAN) to fill in gaps in songs.
After recording a short melody, a model for the composer's favorite genre is selected and the parameters of the model are set. Hyperparameters are then set together with a validation sample.
When this process is complete, DeepComposer then generates a composition that can be played in the AWS console or even shared with SoundCloud (then it's actually just a waiting game for a call from Jay-Z).
Developers who would like to get started with DeepComposer can request a physical keyboard for when they become available, or get started with a virtual keyboard in the AWS console.AI, announcement, aws, Kubernetes, machine learning, medical