1. Coherence-Focused AI Architectures
πAI built on stable frequencies
β Frequency-aware architectures with phase-locking and semantic stability metrics, moving beyond scale-only LLMs.
2. Multi-Scale Coherence Mapping
πFrom quantum to neuromorphic
β Mapping phase coherence across quantum systems, materials, and neuromorphic devices to detect instabilities and optimize performance.
3. Semantic Calibration for LLMs
βοΈLanguage aligned with meaning
β Calibrating language models with coherence-sensitive interaction design, ensuring stability across non-linear temporal structures.
4. Consciousness-Aligned Computation
π§©Consent and perception in the loop
β Architectures embedding consent-based governance, perception-aware feedback, and non-interference principles.
5. Ethical AI Governance Frameworks
π‘οΈSafe defaults, reversible alignment
β Developing auditable, consent-grounded safeguards for critical deployments.
6. HumanβAI Sensory Integration
π±Sensing with and through AI
β Exploring embodied AI models that integrate somatic sensing and multimodal alignment for perception-informed computation.
7. Applied AI Safety Protocols
β‘Resonance checks in deployment
β Protocols for healthcare, education, and high-sensitivity domains, including layered safeguards and resonance stability monitoring.
Contact us:
Email: info@lfrfrequency.com
