Favorite Since its launch in November 2017, the AWS Deep Learning Amazon Machine Image (DLAMI) has been the preferred method for running deep learning frameworks on Amazon Elastic Compute Cloud (Amazon EC2). For deep learning practitioners and learners who want to accelerate deep learning in the cloud, the DLAMI comes pre-installed
Favorite Human rights defenders need information from many sources to do their work effectively. But as issues evolve and new precedents are set, finding the right information to defend a particular case can be like looking for a needle in a haystack. For example, a human rights advocate campaigning for
Favorite Computer vision, the automatic recognition and description of documents, images, and videos, has far-reaching applications, from identifying defects in high-speed assembly lines, to intelligently automating document processing workflows, and identifying products and people in social media. AWS computer vision services, including Amazon Lookout for Vision, AWS Panorama, Amazon Rekognition,
Favorite Introducing KM means also introducing plans for KM, at different levels in the organisation. Here are a few of the plans you may need, depending on your context.
Favorite Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). It provides a single, web-based visual interface where you can perform all ML development steps required to prepare data, as well as build, train, and deploy models. We recently introduced the ability to visually
Favorite In Part 1 of this series, we offered step-by-step guidance for creating, connecting, stopping, and debugging Amazon EMR clusters from Amazon SageMaker Studio in a single-account setup. In this post, we dive deep into how you can use the same functionality in certain enterprise-ready, multi-account setups. As described in
Favorite Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines search for your websites and applications so your employees and customers can easily find the content they’re looking for, even when it’s scattered across multiple locations and content repositories within your organization. With Amazon
Favorite Today, we’re launching the Amazon Lex automated chatbot designer (preview), which reduces the time and effort it takes for customers to design a chatbot by automating the process using existing conversation transcripts. Amazon Lex helps you build, test, and deploy chatbots and virtual assistants on contact center services (such
Favorite AWS BugBust is the first global bug-busting challenge for developers to eliminate 1 million software bugs and save $100 million in technical debt for their organizations. AWS BugBust allows you to create and manage private events that transform and gamify the process of finding and fixing bugs in your
Favorite Today, we’re launching the Amazon Lex automated chatbot designer (preview), which reduces the time and effort it takes for customers to design a chatbot by automating the process using existing conversation transcripts. Amazon Lex helps you build, test, and deploy chatbots and virtual assistants on contact center services (such
Shared by AWS Machine Learning December 9, 2021
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