{"id":324,"date":"2020-10-01T02:37:11","date_gmt":"2020-10-01T02:37:11","guid":{"rendered":"https:\/\/machine-learning.webcloning.com\/2020\/10\/01\/this-month-in-aws-machine-learning-september-2020-edition\/"},"modified":"2020-10-01T02:37:11","modified_gmt":"2020-10-01T02:37:11","slug":"this-month-in-aws-machine-learning-september-2020-edition","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2020\/10\/01\/this-month-in-aws-machine-learning-september-2020-edition\/","title":{"rendered":"This month in AWS Machine Learning: September 2020 edition"},"content":{"rendered":"<div id=\"\">\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone size-full wp-image-16544\" src=\"https:\/\/d2908q01vomqb2.cloudfront.net\/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59\/2020\/09\/30\/202431_AWS_ML_Monthly_blog_post_visual_sept-01.png\" alt=\"\" width=\"1600\" height=\"800\"><\/p>\n<p>Every day there is something new going on in the world of AWS Machine Learning\u2014from launches to new use cases to interactive trainings. We\u2019re packaging some of the not-to-miss information from the ML Blog and beyond for easy perusing each month. Check back at the end of each month for the latest roundup.<\/p>\n<h2>Launches<\/h2>\n<p>This month we announced native support for TorchServe in <a href=\"https:\/\/aws.amazon.com\/sagemaker\/\" target=\"_blank\" rel=\"noopener noreferrer\">Amazon SageMaker<\/a>, launched a new NFL Next Gen Stat, and enhanced our language services including <a href=\"https:\/\/aws.amazon.com\/transcribe\/\" target=\"_blank\" rel=\"noopener noreferrer\">Amazon Transcribe<\/a> and <a href=\"https:\/\/aws.amazon.com\/comprehend\/\" target=\"_blank\" rel=\"noopener noreferrer\">Amazon Comprehend<\/a>. Read on for our September launches:<\/p>\n<p><strong>\u00a0<\/strong><a href=\"https:\/\/aws.amazon.com\/blogs\/machine-learning\/serving-pytorch-models-in-production-with-the-amazon-sagemaker-native-torchserve-integration\/\" target=\"_blank\" rel=\"noopener noreferrer\">TorchServe is now natively supported in Amazon SageMaker<\/a> as the default model server for PyTorch inference to help you bring models to production quickly without having to write custom code.<\/p>\n<ul>\n<li>With the new <a href=\"https:\/\/aws.amazon.com\/blogs\/aws\/amazon-transcribe-now-supports-automatic-language-identification\/\" target=\"_blank\" rel=\"noopener noreferrer\">automatic language detection<\/a> feature for Amazon Transcribe, you can now simply provide audio files and Amazon Transcribe detects the dominant language from the speech signal and generates transcriptions in the identified language. Amazon Transcribe now also expands support for <a href=\"https:\/\/aws.amazon.com\/about-aws\/whats-new\/2020\/09\/amazon-transcribe-announces-channel-identification-support-for-streaming-audio\/\" target=\"_blank\" rel=\"noopener noreferrer\">Channel Identification<\/a> to streaming audio transcription. With Channel Identification, you can process live audio from multiple channels, and produce a single transcript of the conversation with channel labels.<\/li>\n<li>You can now use Amazon Comprehend to <a href=\"https:\/\/aws.amazon.com\/blogs\/machine-learning\/detecting-and-redacting-pii-using-amazon-comprehend\/\" target=\"_blank\" rel=\"noopener noreferrer\">detect and redact personally identifiable information<\/a> (PII) in customer emails, support tickets, product reviews, social media, and more.<\/li>\n<li>To kick off football season, AWS and the National Football League <a href=\"https:\/\/press.aboutamazon.com\/news-releases\/news-release-details\/aws-and-national-football-league-announce-new-next-gen-stats\" target=\"_blank\" rel=\"noopener noreferrer\">announced new Next Gen Stats powered by AWS<\/a>. One of those stats, <a href=\"https:\/\/blog.aboutamazon.com\/innovation\/from-start-to-finish-aws-powers-this-new-nfl-next-gen-stat\" target=\"_blank\" rel=\"noopener noreferrer\">Expected Rushing Yards<\/a>, was developed at the NFL\u2019s Big Data Bowl, powered by AWS. Expected Rushing Yards is designed to show how many rushing yards a ball carrier is expected to gain on a given carry based on the relative location, speed, and direction of blockers and defenders.<\/li>\n<\/ul>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone size-full wp-image-16433\" src=\"https:\/\/d2908q01vomqb2.cloudfront.net\/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59\/2020\/09\/29\/1-Image.jpg\" alt=\"\" width=\"900\" height=\"472\"><\/p>\n<h2>Use cases<\/h2>\n<p>Get ideas and architectures from AWS customers, partners, ML Heroes, and AWS experts on how to apply ML to your use case:<\/p>\n<h2>Explore more ML stories<\/h2>\n<p>Want more news about developments in ML? Check out the following stories:<\/p>\n<ul>\n<li>DBS Bank is training 3,000 employees in AI with the help of the AWS DeepRacer League. <a href=\"https:\/\/www.cnbc.com\/video\/2020\/09\/23\/singapore-firms-build-up-their-workforce-to-stay-competitive-as-the-pandemic-unfolds.html\" target=\"_blank\" rel=\"noopener noreferrer\">Watch<\/a> to see how they are developing ML skills and fostering community for their workforce.<\/li>\n<li>Amazon scientist Amaia Salvador shared her views on the challenges facing women in computer vision in a recent <a href=\"https:\/\/www.amazon.science\/amazon-scientist-amaia-salvador-on-challenges-for-women-in-computer-vision-stem\" target=\"_blank\" rel=\"noopener noreferrer\">Science article<\/a>.<\/li>\n<li>Aella Credit is making banking more accessible using AWS ML.<\/li>\n<\/ul>\n<ul>\n<li>Read about how ML is identifying and tracking pandemics like COVID-19, and check out this <a href=\"https:\/\/www.brighttalk.com\/webcast\/12339\/434228\" target=\"_blank\" rel=\"noopener noreferrer\">VentureBeat Webinar<\/a> featuring Michelle Lee, VP of the Amazon ML Solutions Lab, on how companies are finding new ways to operate and respond in this pandemic with AI\/ML.<\/li>\n<li>Build, Train and Deploy a real-world flower classifier of 102 flower types with instruction from <a href=\"\/dev.to\/aws-builders\/build-train-and-deploy-a-real-world-flower-classifier-of-102-flower-types-2ko7\" target=\"_blank\" rel=\"noopener noreferrer\">this tutorial<\/a> by AWS ML Community Builder Juv Chan.<\/li>\n<li>Earlier this month, we announced that Lena Taupie, a software developer for Blubrr, won the <a href=\"https:\/\/aws.amazon.com\/deepcomposer\/chartbusters\/\" target=\"_blank\" rel=\"noopener noreferrer\">AWS DeepComposer Chartbusters challenge<\/a>. Learn about <a href=\"https:\/\/aws.amazon.com\/blogs\/machine-learning\/learn-from-the-winner-of-the-aws-deepcomposer-chartbusters-spin-the-model-challenge\/\" target=\"_blank\" rel=\"noopener noreferrer\">Lena\u2019s experience competing in the challenge<\/a> and how she drew from her own background, having grown up in St. Lucia, a city with a history of oral and folk traditional music, to develop a new custom genre model using Generative AI.<\/li>\n<\/ul>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-16548 size-full\" title=\"Lena Taupie\" src=\"https:\/\/d2908q01vomqb2.cloudfront.net\/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59\/2020\/09\/30\/2-DeepComposer-1.jpg\" alt=\"\" width=\"401\" height=\"286\"><\/p>\n<h2>Mark your calendars<\/h2>\n<p>Join us for the following exciting ML events:<\/p>\n<ul>\n<li>\n<a href=\"https:\/\/amazonsagemakerfridays.splashthat.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">SageMaker Fridays<\/a> is back with season 2 and it is going to be bigger. You can get started faster with machine learning using Amazon SageMaker, where we will discuss practical use cases and applications through the season. Join us on the season premiere on Oct. 9, and we will continue to meet every week with a new use case.<\/li>\n<li>On October 18, join Quantiphi for a conversation on how you can add AI to your contact centers to drive better customer engagement. <a href=\"https:\/\/ai.quantiphi.com\/reimagining-contact-center-operations-with-conversational-ai\" target=\"_blank\" rel=\"noopener noreferrer\">Register<\/a> now!<\/li>\n<li>AWS is sponsoring the WSJ Pro AI Forum on October 28. <a href=\"https:\/\/ai.wsj.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">Register<\/a> to learn strategies for bringing AI and ML to your organization.<\/li>\n<\/ul>\n<hr>\n<h3>About the Author<\/h3>\n<p><strong><img decoding=\"async\" loading=\"lazy\" class=\"size-full wp-image-16435 alignleft\" src=\"https:\/\/d2908q01vomqb2.cloudfront.net\/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59\/2020\/09\/29\/laura-jones-100-2.jpg\" alt=\"\" width=\"100\" height=\"105\">Laura Jones<\/strong> is a product marketing lead for AWS AI\/ML where she focuses on sharing the stories of AWS\u2019s customers and educating organizations on the impact of machine learning. As a Florida native living and surviving in rainy Seattle, she enjoys coffee, attempting to ski and enjoying the great outdoors.<\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>https:\/\/aws.amazon.com\/blogs\/machine-learning\/this-month-in-aws-machine-learning-september-2020-edition\/<\/p>\n","protected":false},"author":0,"featured_media":325,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/324"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=324"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/324\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/325"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=324"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=324"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=324"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}