From 86e8ccd3d7bed033b19050046e9bcae7ec877283 Mon Sep 17 00:00:00 2001 From: ruv Date: Sun, 1 Mar 2026 11:31:48 -0500 Subject: [PATCH] docs: add Self-Learning and AI Signal Processing to Key Features table Co-Authored-By: claude-flow --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index b6c3187..d70cc34 100644 --- a/README.md +++ b/README.md @@ -64,6 +64,8 @@ docker run -p 3000:3000 ruvnet/wifi-densepose:latest | 🚑 | **Disaster Response** | Detects trapped survivors through rubble and classifies injury severity (START triage) | | 🐳 | **One-Command Setup** | `docker pull ruvnet/wifi-densepose:latest` — live sensing in 30 seconds, no toolchain needed | | 📦 | **Portable Models** | Trained models package into a single `.rvf` file — runs on edge, cloud, or browser (WASM) | +| 🧠 | **Self-Learning** | Teaches itself from raw WiFi data — no labeled training sets, no cameras needed to bootstrap ([ADR-024](#self-learning-wifi-ai-adr-024)) | +| 🎯 | **AI Signal Processing** | Attention networks, graph algorithms, and smart compression replace hand-tuned thresholds — adapts to each room automatically ([RuVector](#ai-backbone-ruvector)) | | 🦀 | **810x Faster** | Complete Rust rewrite: 54,000 frames/sec pipeline, 132 MB Docker image, 542+ tests | ---