docs: update README, CHANGELOG, and associated ADRs for MERIDIAN

- CHANGELOG: add MERIDIAN (ADR-027) to Unreleased section
- README: add "Works Everywhere" to Intelligence features, update How It Works
- ADR-002: status → Superseded by ADR-016/017
- ADR-004: status → Partially realized by ADR-024, extended by ADR-027
- ADR-005: status → Partially realized by ADR-023, extended by ADR-027
- ADR-006: status → Partially realized by ADR-023, extended by ADR-027

Co-Authored-By: claude-flow <ruv@ruv.net>

README.md

@@ -75,6 +75,7 @@ The system learns on its own and gets smarter over time — no hand-tuning, no l
 |---|---------|---------------|
 | 🧠 | **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)) |
+| 🌍 | **Works Everywhere** | Train once, deploy in any room — adversarial domain generalization strips environment bias so models transfer across rooms, buildings, and hardware ([ADR-027](#cross-environment-generalization-adr-027)) |
 
 ### Performance & Deployment
 
@@ -107,7 +108,7 @@ Neural Network maps processed signals → 17 body keypoints + vital signs
 Output: real-time pose, breathing rate, heart rate, presence, room fingerprint
 ```
 
-No training cameras required — the [Self-Learning system (ADR-024)](#self-learning-wifi-ai-adr-024) bootstraps from raw WiFi data alone.
+No training cameras required — the [Self-Learning system (ADR-024)](#self-learning-wifi-ai-adr-024) bootstraps from raw WiFi data alone. [MERIDIAN (ADR-027)](#cross-environment-generalization-adr-027) ensures the model works in any room, not just the one it trained in.
 
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