Favorite Eastern Australia is among the most fire-prone regions in the world. Although bushfires are a regular occurrence in Australia, the 2019–2020 bushfire crisis set ablaze over 17 million hectares of land (larger than the size of England), costing the Australian economy more than $100 billion between property, infrastructure, social,
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Shared by AWS Machine Learning November 10, 2021
Favorite Machine learning (ML) and deep learning (DL) are becoming effective tools for solving diverse computing problems, from image classification in medical diagnosis, conversational AI in chatbots, to recommender systems in ecommerce. However, ML models that have specific latency or high throughput requirements can become prohibitively expensive to run at
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Shared by AWS Machine Learning November 10, 2021
Favorite For millions of people, being able to speak and be understood can be difficult as a result of conditions that can impact speech, including stroke, ALS, Cerebral Palsy, traumatic brain injury or Parkinson’s disease. Today, we’re inviting an initial group of people to test Project Relate, a new Android
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Shared by Google AI Technology November 9, 2021
Favorite In 2018 we began our flood forecasting initiative to help combat the catastrophic damage from floods each year by equipping those in harm’s way with accurate and detailed alerts. This work is a part of Google’s broader Crisis Response program which provides people access to trusted information and resources
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Shared by Google AI Technology November 9, 2021
Favorite Knowledge and information are part of a continuum but not the same, and knowledge problems cannot be solved with information tools alone. Image from wikimedia commons Often a client comes to us and says something like “We have a Knowledge Management problem. Our project teams can’t find the knowledge
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Shared by Nick Milton November 9, 2021
Favorite Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they’re looking for, even when it’s scattered across multiple locations and content repositories within your organization. With
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Shared by AWS Machine Learning November 9, 2021
Favorite AutoGluon-Tabular is an open-source AutoML framework that requires only a single line of Python to train highly accurate machine learning (ML) models on an unprocessed tabular dataset. In this post, we walk you through a way of using AutoGluon-Tabular as a code-free AWS Marketplace product. We use this process
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Shared by AWS Machine Learning November 9, 2021
Favorite Domestic infrastructure issues are a pain for everyone involved. Not only does it negatively affect customer satisfaction, it also has a cascading effect on businesses and their bottom line in terms of financials. Electric utility poles, for example, are an example of a cumbersome infrastructure issue to resolve. Normally,
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Shared by AWS Machine Learning November 9, 2021
Favorite After the article in Nature about the open-source of AlphaFold v2.0 on GitHub by DeepMind, many in the scientific and research community have wanted to try out DeepMind’s AlphaFold implementation firsthand. With compute resources through Amazon Elastic Compute Cloud (Amazon EC2) with Nvidia GPU, you can quickly get AlphaFold
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Shared by AWS Machine Learning November 6, 2021
Favorite Out-of-stock (OOS) is an essential metric tracked across the retail industry. Brick-and-mortar retailers seek to reduce their costs associated with OOS items, while simultaneously increasing shopper satisfaction without inventory surplus. A product can be OOS in three main ways: Distribution OOS, Store OOS, and Shelf OOS. This post focuses
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Shared by AWS Machine Learning November 3, 2021
Shared by AWS Machine Learning November 10, 2021
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