Symbolic Neuromorphic AI Chip for EEG-Guided, Consent-Aware Wearable Devices

Smart overview of the Invention

The symbolic neuromorphic AI chip is designed for wearable devices, integrating neuromorphic EEG decoding with symbolic execution and intention-aware ethics enforcement. It processes biometric and environmental data into symbolic primitives, supporting artificial general intelligence (AGI) reasoning and autonomy in real-time. The chip incorporates embedded sovereign firewalls and zero-knowledge proof memory zones, enabling secure, ethical processing within devices like AI pins, glasses, and headsets, without relying on cloud-based systems.

Field and Applications

This innovation is relevant to wearable AGI processors, providing real-time ethical reasoning capabilities. It is particularly applicable to devices that require autonomous cognitive processing, such as AI-enabled wearables. By eliminating the need for cloud control, the chip ensures lawful behavioral outputs through symbolic primitives that facilitate interpretable AGI cognition.

Background and Challenges

Existing wearable AI systems often depend on opaque neural networks and cloud services, which introduce latency and privacy issues. Current EEG decoding technologies are limited in scope, and ethical constraints are not typically embedded in hardware. The chip addresses these gaps by offering symbolic architecture that includes secure memory isolation, multimodal fusion, and consent verification.

Technical Summary

The chip integrates EEG decoding with symbolic execution, ensuring real-time ethics enforcement and lawful outputs. Its transformer-aligned cores maintain narrative consistency, while zero-knowledge memory units secure symbolic data. The chip autonomously processes multimodal inputs and uses cryptographic trust cores to verify behavioral signatures, supporting low-latency wearable ecosystems.

Detailed Features

The chip processes EEG signals into symbolic primitives, capturing biometric data in real-time and converting it into semantic tags. It includes ethics gates to enforce lawful behavior, transformer cores for narrative consistency, and sovereign firewalls to prevent external manipulation. The chip supports cloud-independent operation, with features like Hamming-normalized engines for behavioral drift detection and emotion tags to amplify pre-symbolic intentions. It also includes encrypted lanes for secure output routing and rollback mechanisms for ethical state reversion.