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update: H5-pure profile, add docs + Z-EUL + Organ links

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README.md
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**Building [Inference-X](https://inference-x.com)** — better output from the same model.
Universal AI inference engine. Fused computation, adaptive precision, surgical expert loading. 305 KB, 19 backends, zero dependencies. Built in Morocco.
Universal AI inference engine. Fused computation, adaptive precision, surgical expert loading. 305 KB, 19 backends, zero dependencies. Built in Morocco for the world.
### What I'm working on
### What I build
| Project | Description |
| Project | What it does |
|---------|-------------|
| [**Inference-X**](https://git.inference-x.com/salka/inference-x) | Universal inference engine — 305 KB binary, fused dequant+dot kernels, Shannon entropy adaptive precision, 23 quantization formats, 19 hardware backends |
| **Solar Inference** | Deploying AI on direct solar current. Adaptive precision + 25W power budget = inference powered by a star. Anti-Atlas, 2026. |
### Philosophy
> *The best inference engine is the one you don't notice. You should hear the model, not the framework.*
| [**Inference-X**](https://git.inference-x.com/salka/inference-x) | Universal inference engine — 305 KB binary, 19 hardware backends, 23 quantization formats, fused dequant+dot kernels, Shannon entropy adaptive precision. Same model, cleaner signal. |
| **Z-EUL** | Mathematical framework for bias-free analysis of neural networks. Z = dI/d(log s) · exp(i theta). Used to measure and optimize AI model architectures. |
| **Organ Architecture** | Neural network surgery — extracting, measuring, and grafting components between AI models to create functional chimeras. |
### How it works
The same model produces higher-fidelity output through Inference-X because the computation path is cleaner: fused kernels eliminate intermediate buffers, adaptive precision allocates depth where it matters, and surgical expert loading keeps only active parameters in memory.
→ [Full technical explanation](https://git.inference-x.com/salka/inference-x/blob/master/TECHNOLOGY.md)
A smaller model running through a clean engine can outperform a larger model running through a noisy one.
### Philosophy
> *The best inference engine is the one you do not notice. You should hear the model, not the framework.*
### Links
🌐 [inference-x.com](https://inference-x.com) · 📧 [Elmadani.SALKA@proton.me](mailto:Elmadani.SALKA@proton.me) · 𝕏 [@ElmadaniSa13111](https://x.com/ElmadaniSa13111)
[inference-x.com](https://inference-x.com) · [Documentation](https://docs.inference-x.com) · [Source Code](https://git.inference-x.com/salka/inference-x) · [Elmadani.SALKA@proton.me](mailto:Elmadani.SALKA@proton.me)
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*Morocco 🇲🇦*
*Morocco*