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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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## 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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## Community and Collaboration |
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We invite collaboration with AI practitioners and researchers. Join our community to contribute and share insights. |
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