A Technology Broker and Management Company Specializing in KM Systems
Favorite Within the decade, Google aims to build a useful, error-corrected quantum computer. This will accelerate solutions for some of the world’s most pressing problems, like sustainable energy and reduced emissions to feed the world’s growing population, and unlocking new scientific discoveries, like more helpful AI. To begin our journey,
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Shared by Google AI Technology May 18, 2021
Favorite We’ve always had a soft spot for language at Google. Early on, we set out to translate the web. More recently, we’ve invented machine learning techniques that help us better grasp the intent of Search queries. Over time, our advances in these and other areas have made it easier
Read More Shared by Google AI Technology May 18, 2021
Favorite A great video from the TRADOC Facebook page, which I saw on Linked-In and share here. General Funk refers to one of his principles – TOPS (Take Other People’s Stuff) – as the rationale behind KM. More on TOPS here. View Original Source (nickmilton.com) Here.
Favorite Someone senior has asked you to introduce Knowledge Management and is providing you with some time and budget for this. What should you ask them to do for you in return? Most or all KM initiatives have an executive sponsor (there are some that do not have one, the
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Shared by Nick Milton May 17, 2021
Favorite For data scientists and machine learning (ML) developers, data preparation is one of the most challenging and time-consuming tasks of building ML solutions. In an often iterative and highly manual process, data must be sourced, analyzed, cleaned, and enriched before it can be used to train an ML model.
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Shared by AWS Machine Learning May 15, 2021
Favorite This is the second in a two-part series on the Amazon SageMaker Ground Truth hierarchical labeling workflow and dashboards. In Part 1: Automate multi-modality, parallel data labeling workflows with Amazon SageMaker Ground Truth and AWS Step Functions, we looked at how to create multi-step labeling workflows for hierarchical label
Read More Shared by AWS Machine Learning May 14, 2021
Favorite Machine learning (ML) is realized in inference. The business problem you want your ML model to solve is the inferences or predictions that you want your model to generate. Deployment is the stage in which a model, after being trained, is ready to accept inference requests. In this post,
Read More Shared by AWS Machine Learning May 14, 2021
Favorite Neural networks have proven effective at solving complex computer vision tasks such as object detection, image similarity, and classification. With the evolution of low-cost GPUs, the computational cost of building and deploying a neural network has drastically reduced. However, most techniques are designed to handle pixel resolutions commonly found
Read More Shared by AWS Machine Learning May 13, 2021
Favorite Whether you’re watching a live broadcast of your favorite soccer team, having a video chat with a vendor, or calling your bank about a loan payment, streaming speech content is everywhere. You can apply a streaming transcription service to generate subtitles for content understanding and accessibility, to create metadata
Read More Shared by AWS Machine Learning May 12, 2021
Favorite Medical data is highly contextual and heavily multi-modal, in which each data silo is treated separately. To bridge different data, a knowledge graph-based approach integrates data across domains and helps represent the complex representation of scientific knowledge more naturally. For example, three components of major electronic health records (EHR)
Read More Shared by AWS Machine Learning May 12, 2021