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Favorite Documents are a primary tool for communication, collaboration, record keeping, and transactions across industries, including financial, medical, legal, and real estate. The format of data can pose an extra challenge in data extraction, especially if the content is typed, handwritten, or embedded in a form or table. Furthermore, extracting
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Shared by AWS Machine Learning November 14, 2020
Favorite If you’re a Formula 1 (F1) fan, have you ever wondered why F1 teams have very different performances between qualifying and practice sessions? Why do they have multiple practice sessions in the first place? Can practice session results actually tell something about the upcoming qualifying race? In this post,
Read More Shared by AWS Machine Learning November 14, 2020
Favorite Five years ago, we open-sourced TensorFlow, our machine learning framework for research and production. Our goal was to expand access to state-of-the-art machine learning tools so anyone could use them. Since then, TensorFlow has become the most popular machine learning library in the world, with over 160 million downloads.
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Shared by Google AI Technology November 13, 2020
Favorite Amazon Polly is launching a new Australian English voice, Olivia. Amazon Polly turns text into lifelike speech, allowing you to build speech-enabled products. Building upon the existing Australian English Standard voices, Nicole and Russell, Olivia is the first Australian English voice in Amazon Polly powered by the Neural Text-to-Speech
Read More Shared by AWS Machine Learning November 13, 2020
Favorite Processing incoming documents such as contracts and agreements is often an arduous task. The typical workflow for reviewing signed contracts involves loading, reading, and extracting contractual terms from agreements, which requires hours of manual effort and intensive labor. At AWS Finance and Global Business Services (AWS FGBS), this process
Read More Shared by AWS Machine Learning November 13, 2020
Favorite We’re excited to announce that you can now measure the accuracy of your forecasting model to optimize the trade-offs between under-forecasting and over-forecasting costs, giving you flexibility in experimentation. Costs associated with under-forecasting and over-forecasting differ. Generally, over-forecasting leads to high inventory carrying costs and waste, whereas under-forecasting leads
Read More Shared by AWS Machine Learning November 13, 2020
Favorite AWS DeepRacer is the fastest way to get rolling with machine learning (ML). It’s a fully autonomous 1/18th scale race car driven by reinforcement learning, a 3D racing simulator, and a global racing league. Throughout 2020, tens of thousands of developers honed their ML skills and competed in the
Read More Shared by AWS Machine Learning November 13, 2020
Favorite At AWS, our mission is to enable developers and businesses with no prior machine learning (ML) expertise to easily build sophisticated, scalable, ML-powered applications with our AI services. Today, we’re excited to announce that Amazon Lex and Amazon Polly are expanding language support. You can build ML-powered applications that
Read More Shared by AWS Machine Learning November 13, 2020
Favorite Welcome to the latest edition of “My Path to Google,” where we talk to Googlers, interns and alumni about how they got to Google, what their roles are like and even some tips on how to prepare for interviews. Having spent his childhood between London, Milan and Dhaka, Bangladesh,
Read More Shared by Google AI Technology November 12, 2020
Favorite Amazon Polly turns text into lifelike speech, allowing you to create applications that talk and build entirely new categories of speech-enabled products. We’re thrilled to announce the launch of a brand-new, British Newscaster speaking style voice: Amy. The speaking style mimics a formal and authoritative British newsreader. This Newscaster
Read More Shared by AWS Machine Learning November 11, 2020