A Technology Broker and Management Company Specializing in KM Systems
Favorite Machine learning has shown enormous promise for social good, whether in helping respond to global health pandemics or reach citizens before natural disasters hit. But even as machine learning technology becomes increasingly accessible, social innovators still face significant barriers in their efforts to use this technology to unlock new
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Shared by Google AI Technology July 23, 2020
Favorite Prostate cancer diagnoses are common, with 1 in 9 men developing prostate cancer in their lifetime. A cancer diagnosis relies on specialized doctors, called pathologists, looking at biological tissue samples under the microscope for signs of abnormality in the cells. The difficulty and subjectivity of pathology diagnoses led us
Read More Shared by Google AI Technology July 23, 2020
Favorite Here is another excellent article from Tom Davenport, one of the clearest writers on the topic of Knowledge Management, making the case for a structured “just-in-time” approach to the supply of knowledge. Tom starts his article as follows: In the half-century since Peter Drucker coined the term “knowledge workers,”
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Shared by Nick Milton July 23, 2020
Favorite As solutions architects working in Brazil, we often translate technical content from English to other languages. Doing so manually takes a lot of time, especially when dealing with presentations—in contrast to plain text documents, their content is spread across various areas in multiple slides. To solve that, we wrote
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Shared by AWS Machine Learning July 22, 2020
Favorite In this post you will compile an open-source TensorFlow version of OpenPose using AWS Neuron and fine tune its inference performance for AWS Inferentia based instances. You will set up a benchmarking environment, measure the image processing pipeline throughput, and quantify the price-performance improvements as compared to a GPU
Read More Shared by AWS Machine Learning July 22, 2020
Favorite When you build models with the Apache MXNet deep learning framework, you can take advantage of the expansive model zoo provided by GluonCV to quickly train state-of-the-art computer vision algorithms for image and video processing. A typical development environment for training consists of a Jupyter notebook hosted on a
Read More Shared by AWS Machine Learning July 22, 2020
Favorite This is a guest post by Mark Wood at Pulselive. In their own words, “Pulselive, based out of the UK, is the proud digital partner to some of the biggest names in sports.” At Pulselive, we create experiences sports fans can’t live without; whether that’s the official Cricket World
Read More Shared by AWS Machine Learning July 22, 2020
Favorite In the UK we call them “the boffins” – the deepest subject matter experts. However there are 4 reasons not to ask the boffins to write the knowledge base content. Image from wikipedia We can view Knowledge Management as the mechanism or system by which we provide knowledge to
Read More Shared by Nick Milton July 22, 2020
Favorite In this post, we demonstrate how to use Amazon Comprehend Medical to extract medication names and medical conditions to monitor drug safety and adverse events. Amazon Comprehend Medical is a natural language processing (NLP) service that uses machine learning (ML) to easily extract relevant medical information from unstructured text. We query
Read More Shared by AWS Machine Learning July 21, 2020
Favorite This post is co-written by Femi Olumofin, an analytics architect at Infoblox. In the same way that you can conveniently recognize someone by name instead of government-issued ID or telephone number, the Domain Name System (DNS) provides a convenient means for naming and reaching internet services or resources behind
Read More Shared by AWS Machine Learning July 21, 2020