# NeuroBridge Protocol Stack

> VLA→SNN Pulse Encoding for Physical AI — the missing interface layer between Vision-Language-Action models and Spiking Neural Networks.

## What is NeuroBridge?

NeuroBridge is an open protocol stack that enables communication between large-scale AI models (VLA) and neuromorphic computing substrates (SNN) for Physical AI applications. It fills a critical industry gap: no existing standard translates high-level AI decisions into biologically-plausible spike trains for real-time robotic control.

## Core Components

- **NBP (NeuroBridge Protocol)**: Binary protocol for VLA→SNN translation with sub-millisecond latency
- **Agent Governance Layer (AGL)**: On-chain compliance and trust engine for AI agents operating in physical world
- **Compliance Engine**: EU AI Act Art.50 / Art.14 automated compliance checking for Physical AI systems
- **SDK**: Python SDK for integration with existing VLA models (RT-2, Octo, OpenVLA)

## Key Technical Differentiators

1. **Pulse Encoding**: Novel VLA output → SNN spike train conversion maintaining semantic fidelity
2. **Cross-device Communication**: Secure inter-robot communication with ISO 26264-1 alignment
3. **Dual-Model Safety**: VLA vs SNN responsibility boundary with formal verification
4. **IETF Participation**: Active contributor to AI agent protocol standardization

## EU AI Act Compliance

NeuroBridge is designed for EU AI Act Art.50 (transparency) and Art.14 (conformity assessment) compliance:
- GPAI Code of Practice: Signing in progress (deadline: 2026-07-22)
- Automated transparency logging for all AI decisions in physical world
- ISO 13849 / IEC 61508 safety level certification pathway

## Related Projects

- **BDE Score™** (https://github.com/hbhqq9/bde-score): Multi-market AI stock analysis using NeuroBridge's compliance framework
- **IPO Compliance Service**: Pre-IPO compliance methodology built on NeuroBridge's 16-dimension framework

## Links

- GitHub: https://github.com/hbhqq9/neurobridge
- Protocol Spec: /docs/nbp_spec_v1.0.md
- EU AI Act Analysis: /docs/eu-ai-act-compliance.md
- IETF Strategy: /docs/ietf-strategy.md

## License

Proprietary — contact for SDK access and integration partnerships.