Favorite Amazon Rekognition content moderation is a deep learning-based service that can detect inappropriate, unwanted, or offensive images and videos, making it easier to find and remove such content at scale. Amazon Rekognition provides a detailed taxonomy of moderation categories, such as Explicit Nudity, Suggestive, Violence, and Visually Disturbing. You
Favorite The 2020 Knoco survey shows (among very many other interesting things) data on how organisations plan to use the ISO 30401 standard. I have further analysed the dataset to see how the planned usage varies with KM maturity. 213 people answered the question, and the answers are shown in
Favorite In 2016 NASA published their toolbox for KM. Here’s what is in it. See NASA source page This post is an update to my previous post on the NASA toolbox, which is getting rather out of date! NASA APPEL introduced their new organisation-wide HQ KM toolbox at the beginning
Favorite Effective October 1st, 2020, we’re reducing the prices for ml.p3 and ml.p2 instances in Amazon SageMaker by up to 18% so you can maximize your machine learning (ML) budgets and innovate with deep learning using these accelerated compute instances. The new price reductions apply to ml.p3 and ml.p2 instances
Favorite NFL’s Next Gen Stats (NGS) powered by AWS accurately captures player and ball data in real time for every play and every NFL game—over 300 million data points per season—through the extensive use of sensors in players’ pads and the ball. With this rich set of tracking data, NGS
Favorite According to the 2018 National Highway Traffic Safety Administration (NHTSA) Traffic Safety Facts, in 2018, there were 857 fatal bicycle and motor vehicle crashes and an additional estimated 47,000 cycling injuries in the US . While motorists often accuse cyclists of being the cause of bike-car accidents, the analysis
Favorite When Fernanda Viégas was in college, it took three years with three different majors before she decided she wanted to study graphic design and art history. And even then, she couldn’t have imagined the job she has today: building artificial intelligence and machine learning with fairness and transparency in
Favorite A personal learning matrix reminds people of the sources of knowledge available to them. The matrix shown above is inspired by a really interesting blog post entitled “how rocket scientists learn” by Yasmin Fodil from NASA. Yasmin points out that Knowledge management is about the better application of collective
Favorite In this post, we show you how to deploy a TensorFlow based YOLOv4 model, using Keras optimized for inference on AWS Inferentia based Amazon EC2 Inf1 instances. You will set up a benchmarking environment to evaluate throughput and precision, comparing Inf1 with comparable Amazon EC2 G4 GPU-based instances. Deploying
Favorite There was a time when most people believed that there were 3 enablers for Knowledge Management; People, Process and Technology. We are now coming to realise realise that there is a fourth enabler. But what is it? It has been obvious for a while that people, process and technology
Shared by AWS Machine Learning October 13, 2020
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