Favorite Amazon SageMaker Data Wrangler is the fastest and easiest way for data scientists to prepare data for machine learning (ML) applications. With Data Wrangler, you can simplify the process of feature engineering and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization through
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Shared by AWS Machine Learning April 14, 2021
Favorite As companies welcome more autonomous robots and other heavy equipment into the workplace, we need to ensure equipment can operate safely around human teammates. In this post, we will show you how to build a virtual boundary with computer vision and AWS DeepLens, the AWS deep learning-enabled video camera
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Shared by AWS Machine Learning April 14, 2021
Favorite This post is cowritten by Ian Avilez and Tim Pavlick from HawkEye 360. HawkEye 360 is a commercial radio frequency (RF) satellite constellation data analytics provider. Our signals of interest include very high frequency (VHF) push-to-talk radios, maritime radar systems, AIS beacons, satellite mobile comms, and more. Our Mission
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Shared by AWS Machine Learning April 14, 2021
Favorite AWS continues to innovate on behalf of our customers. We’re working with NVIDIA to bring an Arm processor-based, NVIDIA GPU accelerated Amazon Elastic Compute Cloud (Amazon EC2) instance to the cloud in the second half of 2021. This instance will feature the Arm-based AWS Graviton2 processor, which was built
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Shared by AWS Machine Learning April 13, 2021
Favorite The world is too complex for us to get things right first time. So what matters is the speed at which we adapt and learn. Image from wikimedia commons The British historian Michael Howard wrote, on the subject of military doctrine, “I am tempted to say that whatever doctrine
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Shared by Nick Milton April 12, 2021
Favorite As the modern factory becomes more connected, manufacturers are increasingly using a range of inputs (such as process data, audio, and visual) to increase their operational efficiency. Companies use this information to monitor equipment performance and anticipate failures using predictive maintenance techniques powered by machine learning (ML) and artificial
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Shared by AWS Machine Learning April 10, 2021
Favorite Companies that operate and maintain a broad range of industrial machinery such as generators, compressors, and turbines are constantly working to improve operational efficiency and avoid unplanned downtime due to component failure. They invest heavily in physical sensors (tags), data connectivity, data storage, and data visualization to monitor the
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Shared by AWS Machine Learning April 10, 2021
Favorite Deep learning is at the forefront of most machine learning (ML) implementations across a broad set of business verticals. Driven by the highly flexible nature of neural networks, the boundary of what is possible has been pushed to a point where neural networks can outperform humans in a variety
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Shared by AWS Machine Learning April 9, 2021
Favorite Machine downtime has a dramatic impact on your operational efficiency. Unexpected machine downtime is even worse. Detecting industrial equipment issues at an early stage and using that data to inform proper maintenance can give your company a significant increase in operational efficiency. Customers see value in detecting abnormal behavior
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Shared by AWS Machine Learning April 9, 2021
Favorite AWS DeepRacer is the fastest way to get rolling with machine learning, giving developers the chance to learn ML hands-on with a 1/18th scale autonomous car, 3D virtual racing simulator, and the world’s largest global autonomous car racing league. With the 2021 AWS DeepRacer League Virtual Circuit now underway,
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Shared by AWS Machine Learning April 9, 2021
Shared by AWS Machine Learning April 14, 2021
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