PuppetConf 2016: Deploying Multi-Tier Windows Applications with Application Orchestrator – Ethan Brown, Puppet
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Here are the slides from Ethan Brown's PuppetConf 2016 presentation called Deploying Multi-Tier Windows Applications with Application Orchestrator. Watch the videos at https://www.youtube.com/playlist?list=PLV86BgbREluVjwwt-9UL8u2Uy8xnzpIqa
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Slides of a session that I have given/will give at various developer conferences in H1 2018.
Niklas Heidloff
http://twitter.com/nheidloff
http://heidloff.net
Summary Article
http://heidloff.net/article/when-to-use-serverless-kubernetes
OpenWhisk
https://openwhisk.apache.org
https://github.com/ibm-functions/composer
https://github.com/nheidloff/openwhisk-debug-nodejs
Kubernetes
https://kubernetes.io
https://istio.io
IBM Cloud
http://ibm.biz/nheidloff
Abstract
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```
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```
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```
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```
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sp.setup({
spfxContext: this.context
});
```
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
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