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Merge pull request #46 from kylekirkby/content_updates
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Content Update
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Kyle committed Aug 9, 2019
2 parents 455893e + a4c6e91 commit 6f30950
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6 changes: 6 additions & 0 deletions _pages/about/README.md
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Expand Up @@ -59,3 +59,9 @@ We aim to create a thriving community of developers working together to make the
If you or your company are interested in participating in this effort, please visit the [Contributing](/contributing/) page. We welcome all feedback and participation in the development of the machine learning platform.

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## Linaro’s Artificial Intelligence Initiative

In 2018, Linaro launched the Artificial Intelligence Initiative, kick started by Arm’s donation of Arm NN. The initiative aims to provide the best-in-class Deep Learning performance by leveraging Neural Network acceleration in IP and SoCs from the Arm ecosystem. Currently every IP vendor forks the runtime of each machine learning framework to integrate their hardware blocks and then tune for performance. This leads to a duplication of effort amongst all players, perpetual cost of re-integration for every new rebasing, and overall increased total cost of ownership. To find out more about the initiative and how to get involved, go to [https://www.linaro.org/engineering/artificial-intelligence/](https://www.linaro.org/engineering/artificial-intelligence/)
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29 changes: 18 additions & 11 deletions index.html
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Expand Up @@ -36,21 +36,28 @@ <h4 class="modal-title text-center" id="myModalModal">ML Platform</h4>

<div class="row content p-t-40 p-b-40" id="content-container">
<div class="container text-center">
<h2 class="text-center">What is the machine learning platform?</h2>
<p>
The machine learning platform is part of the <a href="https://www.linaro.org/news/linaro-announces-launch-of-machine-intelligence-initiative/">Linaro Artificial Intelligence Initiative</a> and is the home for Arm NN and Arm
Compute Library – open-source software libraries that optimise the execution of machine learning (ML) workloads
on Arm-based processors.
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<p>
It enables a new era of advanced, ultra-efficient inference at the edge. Specifically designed for machine learning and
neural network (NN) capabilities, the architecture is versatile enough to scale to any device, from the Internet of
Things (IoT) to connected cars and servers.
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<h2 class="text-center">What is the machine learning platform?</h2>
<p>
The machine learning platform is part of the <a href="https://www.linaro.org/news/linaro-announces-launch-of-machine-intelligence-initiative/">Linaro Artificial Intelligence Initiative</a> and is the home for Arm NN and Arm
Compute Library – open-source software libraries that optimise the execution of machine learning (ML) workloads
on Arm-based processors.
</p>
<p>
It enables a new era of advanced, ultra-efficient inference at the edge. Specifically designed for machine learning and
neural network (NN) capabilities, the architecture is versatile enough to scale to any device, from the Internet of
Things (IoT) to connected cars and servers.
</p>
</div>
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<img src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-src="/assets/images/content/nn-frameworks.png"
class="center-block img-responsive lazyload" alt="NN Frameworks graphic"/>
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<p>
Linaro’s Artificial Intelligence Initiative brings companies together to develop the best-in-class Deep Learning performance by leveraging Neural network acceleration in IP and SoCs from the Arm ecosystem. To find out more about joining the initiative as a member, go to <a href="https://www.linaro.org/engineering/artificial-intelligence">https://www.linaro.org/engineering/artificial-intelligence/</a>
</p>
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