AWS Machine Learning Blog

AWS and Caltech Partner to Accelerate AI and Machine Learning Through a New Research Collaboration

by Joseph Spisak and Adam Wierman | on | Permalink | Comments |  Share

From autonomous robotics to state of-the-art computer vision, Caltech and Amazon have a lot in common, including the belief that pushing the boundaries of artificial intelligence (AI) and machine learning (ML) will not only disrupt industries, but it will fundamentally change the nature of scientific research. We believe these technologies have the potential to transform […]

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AWS DeepLens Extensions: Build Your Own Project

AWS DeepLens provides a great opportunity to learn new technologies, such as deep learning and Internet of Things (IoT), as well as to build innovative systems that can solve real-world problems. The device and service comes with a set of predefined projects that make it easy to hit the ground running. It is designed as […]

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Customize and Display AWS DeepLens Project Output on Your Laptop

by Guy Ernest and Sunil Mallya | on | in AWS DeepLens | Permalink | Comments |  Share

AWS DeepLens is a deep-learning-enabled developer toolkit with a video camera. It enables you to develop machine learning skills using hands-on computer vision tutorials, pre-built models and allows you to extend them. Examples of pre-built models include object detection to recognize and detect different objects in your room such as TV monitors, people and bottles, […]

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Extend AWS DeepLens to Send SMS Notifications with AWS Lambda

AWS DeepLens is a deep learning enabled developer toolkit with a video camera. It enables you to develop machine learning skills using hands-on computer vision tutorials, pre-built models and allows you to extend them. This blog post explains how to extend the local functionality of DeepLens with cloud functionality using the AWS IoT Rule Engine […]

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Introducing the Inaugural AWS Machine Learning Competency Partners

by Joseph Spisak | on | Permalink | Comments |  Share

Out of all of the innovations that are being driven by cloud, the areas of artificial intelligence (AI) and machine learning (ML) are perhaps the most exciting. IDC, as an example, is forecasting that the market for AI systems to be $46 billion by 2020. This is up from $12.5 billion in 2017 and growing at […]

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Distributed Inference Using Apache MXNet and Apache Spark on Amazon EMR

In this blog post we demonstrate how to run distributed offline inference on large datasets using Apache MXNet (incubating) and Apache Spark on Amazon EMR. We explain how offline inference is useful, why it is challenging, and how you can leverage MXNet and Spark on Amazon EMR to overcome these challenges. Distributed inference on large […]

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Announcing AWS Machine Learning Research Awards

by Sebouh Der Kiureghian | on | Permalink | Comments |  Share

We are excited to announce the AWS Machine Learning Research Awards, a new program that funds university departments, faculty, PhD students, and post-docs that are conducting novel research in machine learning (ML). We are working with Carnegie Mellon University, California Institute of Technology (Caltech), Harvard Medical School, The University of Washington, and the University of […]

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Receive Phone Call Alerts for AWS Account Security Events With Amazon Polly

Security of your AWS account is paramount. Staying up to date with any security-related events in your AWS account is important. There are various ways to get alerts- via email or SMS, however in this blog post I’m going to show you how to get a voice alert on your phone using Amazon AI services like Amazon Polly and any cloud-based communications platform like Twilio.

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Introducing the Amazon ML Solutions Lab

by Vinayak Agarwal | on | Permalink | Comments |  Share

We are excited to announce the Amazon ML Solutions Lab, a new program that connects machine learning experts from across Amazon with AWS customers to help identify novel uses of machine learning inside customers’ businesses, and guide them in developing new machine learning-enabled features, products, and processes. Amazon has been investing in machine learning for more than 20 years, innovating in areas such as fulfilment and logistics, personalization and recommendations, forecasting, fraud prevention, and supply chain optimization. The Amazon ML Solutions Lab provides you access to the same talent that built many of Amazon’s machine learning-powered products and services.

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Amazon Rekognition Announces Real-Time Face Recognition, Support for Recognition of Text in Image, and Improved Face Detection

Amazon Rekognition today announces three new features: detection and recognition of text in images, real-time face recognition across tens of millions of faces, and detection of up to 100 faces in challenging crowded photos. Customers who are already using Amazon Rekognition for face verification and identification will experience up to a 10% accuracy improvement in most cases.

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