Model dynamism Support in Amazon SageMaker Neo

Favorite Amazon SageMaker Neo was launched at AWS re:Invent 2018. It made notable performance improvement on models with statically known input and output data shapes, typically image classification models. These models are usually composed of a stack of blocks that contain compute-intensive operators, such as convolution and matrix multiplication. Neo

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Shared by AWS Machine Learning December 9, 2020

Amazon Forecast Weather Index – automatically include local weather to increase your forecasting model accuracy

Favorite We’re excited to announce the Amazon Forecast Weather Index, which can increase your forecasting accuracy by automatically including local weather information in your demand forecasts with one click and at no extra cost. Weather conditions influence consumer demand patterns, product merchandizing decisions, staffing requirements, and energy consumption needs. However,

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Shared by AWS Machine Learning December 9, 2020

3 words that put "Management" in Knowledge Management

Favorite The difference between Knowledge Sharing and Knowledge Management lies in three words – systematic, routine, strategic. Quite often we find clients who don’t like the term “knowledge management” and prefer something like “knowledge sharing” instead. Often this comes from the assumption that “knowledge management” means “the management of knowledge”,

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Shared by Nick Milton December 9, 2020

How Thomson Reuters accelerated research and development of natural language processing solutions with Amazon SageMaker

Favorite This post is co-written by John Duprey and Filippo Pompili from Thomson Reuters. Thomson Reuters (TR) is one of the world’s most trusted providers of answers, helping professionals make confident decisions and run better businesses. Teams of experts from TR bring together information, innovation, and confident insights to unravel

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Shared by AWS Machine Learning December 8, 2020

Optimising for the internal search engine

Favorite Internal company search seldom works as well as Google, because so few people optimise the findability of their content. Image from Wikimedia commons People often cite Google as the gold-standard in search, but partly Google works so well because of the prevalence of search-engine optimisation in the World Wide

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Shared by Nick Milton December 8, 2020

Researchers can use qsim to explore quantum algorithms

Favorite A year ago, Google’s Quantum AI team achieved a beyond-classical computation by using a quantum computer to outperform the world’s fastest classical computer. With this, we entered a new era of quantum computing. We still have a long journey ahead of us to find practical applications, and we know

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Shared by Google AI Technology December 7, 2020

When newsrooms collaborate with AI

Favorite Two years ago, the Google News Initiative partnered with the London School of Economics and Political Science to launch JournalismAI, a global effort to foster media literacy in newsrooms through research, training and experimentation.   Since then, more than 62 thousand journalists have taken Introduction to Machine Learning, an online

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Shared by Google AI Technology December 7, 2020