Fernanda Viégas puts people at the heart of AI

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

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Shared by Google AI Technology October 7, 2020

The personal learning matrix

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

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Shared by Nick Milton October 7, 2020

Achieving 1.85x higher performance for deep learning based object detection with an AWS Neuron compiled YOLOv4 model on AWS Inferentia

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

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Shared by AWS Machine Learning October 7, 2020

What is the 4th enabler for Knowledge Management?

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

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Shared by Nick Milton October 6, 2020

Evaluating an automatic speech recognition service

Favorite Over the past few years, many automatic speech recognition (ASR) services have entered the market, offering a variety of different features. When deciding whether to use a service, you may want to evaluate its performance and compare it to another service. This evaluation process often analyzes a service along

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Shared by AWS Machine Learning October 6, 2020

Make your everyday smarter with Jacquard

Favorite Technology is most helpful when it’s frictionless. That is why we believe that computing should power experiences through the everyday things around you—an idea we call “ambient computing.” That’s why we developed the Jacquard platform to deliver ambient computing in a familiar, natural way: By building it into things

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Shared by Google AI Technology October 5, 2020

How to measure the waste in the KM supply chain

Favorite If KM is a lean supply chain for knowledge, how can you measure the amount of waste in the chain? Shredded waste, image from wikimedia commons I have often used the concept of a knowledge supply chain as a way of describing Knowledge Management; the supply chain being a

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Shared by Nick Milton October 5, 2020