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- Edit this `README.md` markdown file to author your organization card.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  title: README
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+ license: mit
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+ short_description: Learn more about Lumina AI & Random Contrast Learning (RCL).
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+ <img src="https://43916819.fs1.hubspotusercontent-na1.net/hubfs/43916819/Lumina-AI-Logo-2023.png" alt="Lumina AI Logo" width="300"/>
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+ ## Overview
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+ Lumina AI leverages innovative machine learning techniques, like our proprietary Random Contrast Learning (RCL) algorithm, to deliver cutting-edge solutions for classification problems.
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+ ## Key Projects
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+ ### Random Contrast Learning (RCL)
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+ Random Contrast Learning (RCL) is an unconstrained classification algorithm and a new approach to machine learning. Optimized for CPU-chipsets, RCL enhances both speed and accuracy without the need for AI-specific chipsets, reducing costs in data, time, energy and hardware. RCL can be utilized via our API and PrismRCL, our Windows application.
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+ ### PrismRCL
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+ PrismRCL is our Windows-based application designed to run on CPU hardware, providing accessible AI solutions for a broad range of users.
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+ ### Datasets
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+ Explore our curated datasets optimized and structured for use with RCL and other machine learning algorithms. All datasets currently hosted have been referenced in our research, available at https://lumina247.com/blog/
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+
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+ ## Links
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+ - [Website](http://www.lumina247.com)
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+ - [GitHub](https://github.com/Lumina-Analytics)
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+ ## Team Members
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+ - **Allan Martin** (CEO & Co-Founder)
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+ - **Dr. Morten Middelfart** (Chief Data Scientist & Co-Founder)
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+ - **Fadi Farhat** (SVP, Operations)
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+ - **Daniella Diaz** (VP, Sales & Marketing)
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+
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+ ## Community and Collaboration
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+ We invite collaboration with AI practitioners and researchers. Join our community to contribute and share insights.