AWS enters blockchain market with 2 dedicated services

AWS enters blockchain market with 2 dedicated services

With NeoPulse, organizations can build sophisticated and accurate AI models with as little as 14 lines of code.

The designers of DeepRacer have equipped the autonomous vehicle with an artificial intelligence (AI) technique called reinforcement learning, which was inspired by how animals learn from responses to their behavior.

Thirteen new machine learning capabilities and services across all layers in the machine learning stack are now available to developers.

"We want to help all of our customers embrace machine learning, no matter their size, budget, experience, or skill level", said Swami Sivasubramanian, vice president, Amazon Machine Learning. "The integration with support for AWS Security Hub makes it even easier for our shared customers to access and act on their cloud security insights". While New EC2 instances are tied to a VPC by default, not every AWS user runs or needs to run a VPC.

Outpost delvers racks of AWS compute and storage with the ability to run services like Amazon Elastic Compute Cloud (EC2) and Amazon Elastic Block Store (EBS) on this AWS-designed infrastructure. With the Splunk Phantom App for AWS Security Hub, findings can be sent to Phantom for automated context enrichment with additional threat intelligence information or to perform automated response actions. And, these optimisations are generally applicable not just for computer vision models but also for a broader set of deep learning models.

So what does a developer get if they purchase a DeepRacer?

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The service automatically optimises the partitioning of data to improve performance and reduce costs, transforms data into formats like Apache Parquet and ORC for faster analytics, and also uses machine learning to deduplicate matching records to increase data quality. And, developers can start using Amazon Elastic Inference without making any changes to their existing models.

Jassy boasted that Amazon Managed Blockchain would allow users to create blockchain networks with just a few clicks. To learn more, visit It will monitor how demand develops before deciding how many more stations to add.

Earlier in his keynote address, Jassy also unveiled more than a dozen new products and services that could cement AWS' place as the leader in cloud computing. Also, it is equally hard to find people who know how to build right and ethical ML models and train, tune and deploy those. What's more, it supports multiple machine learning frameworks, including TensorFlow, Caffe2 and ONNX. AWS will also make Neo available as an open source project. Each use case, from videos, music, products, news articles, has its own specificities, which require a unique mix of data, algorithms, and optimisations.

Customers can subscribe to models on AWS Marketplace for Machine Learning and deploy on Amazon SageMaker, which is a fully-managed platform from Amazon Web Services, Inc.

For over 12 years, Amazon Web Services has been the world's most comprehensive and broadly adopted cloud platform. "That was cold at last year's event".

Amazon launches a pair of new blockchain services...

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