AWS Machine Learning Blog

Category: Artificial Intelligence

Detecting and analyzing incorrect model predictions with Amazon SageMaker Model Monitor and Debugger

Convolutional neural networks (CNNs) achieve state-of-the-art results in tasks such as image classification and object detection. They are used in many diverse applications, such as in autonomous driving to detect traffic signs and objects on the street, in healthcare to more accurately classify anomalies in image-based data, and in retail for inventory management. However, CNNs […]

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Announcing the launch of Amazon Comprehend custom entity recognition real-time endpoints

Amazon Comprehend is a natural language processing (NLP) service that can extract key phrases, places, names, organizations, events, sentiment from unstructured text, and more (for more information, see Detect Entities). But what if you want to add entity types unique to your business, like proprietary part codes or industry-specific terms? In November 2018, Amazon Comprehend […]

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Optimizing I/O for GPU performance tuning of deep learning training in Amazon SageMaker

GPUs can significantly speed up deep learning training, and have the potential to reduce training time from weeks to just hours. However, to fully benefit from the use of GPUs, you should consider the following aspects: Optimizing code to make sure that underlying hardware is fully utilized Using the latest high performant libraries and GPU […]

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Giving your content a voice with the Newscaster speaking style from Amazon Polly

Audio content consumption has grown exponentially in the past few years. Statista reports that podcast ad revenue will exceed a billion dollars in 2021. For the publishing industry and content providers, providing audio as an alternative option to reading could improve engagement with users and be an incremental revenue stream. Given the shift in customer […]

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Accelerating innovation: How serverless machine learning on AWS powers F1 Insights

FORMULA 1 (F1) turns 70 years old in 2020 and is one of the few sports that combines real-time skill with engineering and technical prowess. Technology has always played a central role in F1; where the evolution of the rules and tools is built into the DNA of F1. This keeps fans engaged and drivers […]

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Building a custom Angular application for labeling jobs with Amazon SageMaker Ground Truth

As a data scientist attempting to solve a problem using supervised learning, you usually need a high-quality labeled dataset before starting your model building. Amazon SageMaker Ground Truth makes dataset building for a different range of tasks, like text classification and object detection, easier and more accessible to everyone. Ground Truth also helps you build […]

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2019 Q4 recipients of AWS Machine Learning Research Awards

The AWS Machine Learning Research Awards (MLRA) aims to advance machine learning (ML) by funding innovative research and open-source projects, training students, and providing researchers with access to the latest technology. Since 2017, MLRA has supported over 180 research projects from 73 schools and research institutes in 13 countries, with topics such as ML algorithms, […]

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Cisco uses Amazon SageMaker and Kubeflow to create a hybrid machine learning workflow

This is a guest post from members of Cisco’s AI/ML best practices team, including Technical Product Manager Elvira Dzhuraeva, Distinguished Engineer Debo Dutta, and Principal Engineer Amit Saha. Cisco is a large enterprise company that applies machine learning (ML) and artificial intelligence (AI) across many of its business units. The Cisco AI team in the […]

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Deriving conversational insights from invoices with Amazon Textract, Amazon Comprehend, and Amazon Lex

Organizations across industries have a large number of physical documents such as invoices that they need to process. It is difficult to extract information from a scanned document when it contains tables, forms, paragraphs, and check boxes. Organization have been addressing these problems with manual effort or custom code or by using Optical Character Recognition […]

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How Euler Hermes detects typo squatting with Amazon SageMaker

This is a guest post from Euler Hermes. In their own words, “For over 100 years, Euler Hermes, the world leader in credit insurance, has accompanied its clients to provide simpler and safer digital products, thus becoming a key catalyzer in the world’s commerce.” Euler Hermes manages more than 600,000 B2B transactions per month and […]

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