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
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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
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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)
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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
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Shared by AWS Machine Learning December 13, 2021
Favorite Time series forecasting is a common problem in machine learning (ML) and statistics. Some common day-to-day use cases of time series forecasting involve predicting product sales, item demand, component supply, service tickets, and all as a function of time. More often than not, time series data follows a hierarchical
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Shared by AWS Machine Learning December 13, 2021
Favorite While the fuel economy of new gasoline or diesel-powered vehicles improves every year, green vehicles are considered even more environmentally friendly because they’re powered by alternative fuel or electricity. Hybrid electric vehicles (HEVs), battery only electric vehicles (BEVs), fuel cell electric vehicles (FCEVs), hydrogen cars, and solar cars are
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Shared by AWS Machine Learning December 9, 2021
Favorite Mining medical concepts from written clinical text, such as patient encounters, plays an important role in clinical analytics and decision-making applications, such as population analytics for providers, pre-authorization for payers, and adverse-event detection for pharma companies. Medical concepts contain medical conditions, medications, procedures, and other clinical events. Extracting medical
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Shared by AWS Machine Learning December 9, 2021
Favorite Since its launch in November 2017, the AWS Deep Learning Amazon Machine Image (DLAMI) has been the preferred method for running deep learning frameworks on Amazon Elastic Compute Cloud (Amazon EC2). For deep learning practitioners and learners who want to accelerate deep learning in the cloud, the DLAMI comes pre-installed
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Shared by AWS Machine Learning December 9, 2021
Favorite Human rights defenders need information from many sources to do their work effectively. But as issues evolve and new precedents are set, finding the right information to defend a particular case can be like looking for a needle in a haystack. For example, a human rights advocate campaigning for
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Shared by Google AI Technology December 8, 2021
Shared by AWS Machine Learning December 16, 2021
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