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re:Invent 2020 Liveblog: Werner Vogels Keynote

Join us Tuesday, Dec. 15 for Dr. Werner Vogels’ Keynote as he shares how Amazon is solving today’s hardest technology problems. Jeff Barr, Martin Beeby, Steve Roberts and Channy Yun will liveblog the event, sharing all the highlights, insights…
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New – VPC Reachability Analyzer

With Amazon Virtual Private Cloud (VPC), you can launch a logically isolated customer-specific virtual network on the AWS Cloud. As customers expand their footprint on the cloud and deploy increasingly complex network architectures, it can take…
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PennyLane on Braket + Progress Toward Fault-Tolerant Quantum Computing + Tensor Network Simulator

I first wrote about Amazon Braket last year and invited you to Get Started with Quantum Computing! Since that launch we have continued to push forward, and have added several important & powerful new features to Amazon Braket: August 2020…
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Amazon SageMaker JumpStart Simplifies Access to Pre-built Models and Machine Learning Solutions

Today, I’m extremely happy to announce the availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that accelerates your machine learning workflows with one-click access to popular model collections (also known as…
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New – Amazon SageMaker Pipelines Brings DevOps Capabilities to your Machine Learning Projects

Today, I’m extremely happy to announce Amazon SageMaker Pipelines, a new capability of Amazon SageMaker that makes it easy for data scientists and engineers to build, automate, and scale end to end machine learning pipelines.Machine…
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Amazon HealthLake Stores, Transforms, and Analyzes Health Data in the Cloud

Healthcare organizations collect vast amounts of patient information every day, from family history and clinical observations to diagnoses and medications. They use all this data to try to compile a complete picture of a patient’s health…
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Amazon SageMaker Edge Manager Simplifies Operating Machine Learning Models on Edge Devices

Today, I’m extremely happy to announce Amazon SageMaker Edge Manager, a new capability of Amazon SageMaker that makes it easier to optimize, secure, monitor, and maintain machine learning models on a fleet of edge devices.Edge computing…
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New – Amazon SageMaker Clarify Detects Bias and Increases the Transparency of Machine Learning Models

Today, I’m extremely happy to announce Amazon SageMaker Clarify, a new capability of Amazon SageMaker that helps customers detect bias in machine learning (ML) models, and increase transparency by helping explain model behavior to stakeholders…
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New – Managed Data Parallelism in Amazon SageMaker Simplifies Training on Large Datasets

Today, I’m particularly happy to announce that Amazon SageMaker now supports a new data parallelism library that makes it easier to train models on datasets that may be as large as hundreds or thousands of gigabytes. As data sets and models…
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Amazon SageMaker Simplifies Training Deep Learning Models With Billions of Parameters

Today, I’m extremely happy to announce that Amazon SageMaker simplifies the training of very large deep learning models that were previously difficult to train due to hardware limitations. In the last 10 years, a subset of machine learning…