A Technology Broker and Management Company Specializing in KM Systems
Favorite Computer vision algorithms are at the core of many deep learning applications. Self-driving cars, security systems, healthcare, logistics, and image processing all incorporate various aspects of computer vision. But despite their ubiquity, training computer vision algorithms, like Mask or Cascade RCNN, is hard. These models employ complex architectures, train
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Shared by AWS Machine Learning December 16, 2021
Favorite Multi-object tracking (MOT) in video analysis is increasingly in demand in many industries, such as live sports, manufacturing, surveillance, and traffic monitoring. For example, in live sports, MOT can track soccer players in real time to analyze physical performance such as real-time speed and moving distance. Previously, most methods
Read More Shared by AWS Machine Learning December 16, 2021
Favorite AutoML is a powerful capability, provided by Amazon SageMaker Autopilot, that allows non-experts to create machine learning (ML) models to invoke in their applications. The problem that we want to solve arises when, due to governance constraints, Amazon SageMaker resources can’t be deployed in the same AWS account where
Read More Shared by AWS Machine Learning December 16, 2021
Favorite Customers in many different domains tend to work with multiple sources for their data: object-based storage like Amazon Simple Storage Service (Amazon S3), relational databases like Amazon Relational Database Service (Amazon RDS), or data warehouses like Amazon Redshift. Machine learning (ML) practitioners are often driven to work with objects
Read More Shared by AWS Machine Learning December 16, 2021
Favorite GAN is a generative ML model that is widely used in advertising, games, entertainment, media, pharmaceuticals, and other industries. You can use it to create fictional characters and scenes, simulate facial aging, change image styles, produce chemical formulas synthetic data, and more. For example, the following images show the
Read More Shared by AWS Machine Learning December 16, 2021
Favorite Building accurate computer vision models to detect objects in images requires deep knowledge of each step in the process—from labeling, processing, and preparing the training and validation data, to making the right model choice and tuning the model’s hyperparameters adequately to achieve the maximum accuracy. Fortunately, these complex steps
Read More Shared by AWS Machine Learning December 16, 2021
Favorite Natural language processing (NLP) has been a hot topic in the AI field for some time. As current NLP models get larger and larger, data scientists and developers struggle to set up the infrastructure for such growth of model size. For faster training time, distributed training across multiple machines
Read More Shared by AWS Machine Learning December 16, 2021
Favorite Here is insight into how NASA tackles the issue of incentives and motivation for KM behaviours. Image from wikimedia commons Incentives and motivation has long been a topic on this blog. Here in Knoco we believe in intrinsic motivation rather than motivation through rewards or prizes, preferring to
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Shared by Nick Milton December 14, 2021
Favorite I did some calculations recently that suggest that attempts to measure a corporate KM culture may give pessimistic figures. Here’s why. We all know that culture is a key factor in KM, and that introducing KM will involve some culture change. Also we know (and ISO 30401 reminds us)
Read More Shared by Nick Milton December 13, 2021
Favorite The Formula 1 (F1) live steaming service, F1 TV, has live automated closed captions in three different languages: English, Spanish, and French. For the 2021 season, FORMULA 1 has achieved another technological breakthrough, building a fully automated workflow to create closed captions in three languages and broadcasting to 85
Read More Shared by AWS Machine Learning December 13, 2021