| | --- |
| | license: other |
| | license_name: other |
| | license_link: LICENSE |
| | --- |
| | --- |
| | tags: |
| | - green-ai |
| | - edge-computing |
| | - c++ |
| | - spectral-graph-theory |
| | - ramanujan-graphs |
| | - topological-deep-learning |
| | license: other |
| | --- |
| |
|
| | # ⚡ Ramanujan Spectral Reservoir (RSR) |
| |
|
| | > **"Intelligence is not about weight adjustment, but optimal topology."** |
| |
|
| | This repository hosts the reference implementation and benchmarks for the **Ramanujan Spectral Reservoir**, a topological AI architecture that replaces Backpropagation with closed-form solutions on spectral expander graphs. |
| |
|
| | ## 🚀 Key Benchmarks |
| | We achieved **hard real-time** performance on commodity hardware by eliminating iterative training in hidden layers: |
| |
|
| | | Device | Metric | Result | Speedup vs MLP | |
| | | :--- | :--- | :--- | :--- | |
| | | **Legacy CPU (i5-4570, 4th Gen)** | Inference Time | **~287x Faster** | 287x | |
| | | **Mobile (Android ARM64)** | Latency | **< 0.6 ms** | >100x | |
| | | **Throughput** | FPS | **1600+ inf/sec** | N/A | |
| |
|
| | ## 📄 The Paper |
| | Full mathematical derivation, proofs, and the "Poliform Industrial Secret Protocol" details are available on Zenodo: |
| | **[LINK A TU ZENODO AQUÍ]** |
| |
|
| | ## 🔧 How it Works |
| | 1. **Project:** Input data is projected onto a fixed **Ramanujan Graph** ($d$-regular spectral expander). |
| | 2. **Diffuse:** Information propagates via spectral diffusion (mixing time is optimal). |
| | 3. **Solve:** The readout layer is computed analytically (Closed-Form) using Ridge Regression. |
| | 4. **Result:** Deterministic, Green AI that runs on bare metal C++. |
| |
|
| | ## 💻 Code Availability |
| | The C++ kernel for Android and the Python reference implementation are available under the **Polyform Strict License 1.0.0** (Non-commercial research only). |
| |
|
| | --- |
| | *Developed by Andrés Sebastián Pirolo (Independent Researcher).* |
| | *Contact: apirolo@abc.gob.ar* |
| |
|
