Mathematical Foundations

Every SmartHaus innovation starts with a proof. Explore the mathematics behind our AI systems.

∀ system ∈ SmartHaus : ∃ proof ∈ Mathematics

Research Areas

Holographic Memory

H(x,t) = ∫∫∫ M(ξ,τ) K(x-ξ, t-τ) dξdτ

Mathematical framework for memory systems where every fragment contains relational information about the whole. Perfect recall from partial queries.

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LQL Calculus

L: Cat → Cat, L(f∘g) = L(f) ⊗ L(g)

Category theory foundations for AI composition. Functorial transformations ensuring mathematical consistency across all operations.

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Biological Calculus

dS/dt = ∇·(D∇S) + f(S)

Differential equations modeling cognitive processes. How mathematical biology informs AI architecture and emergent intelligence.

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Published Research

Holographic Memory Systems for Conversational AI

SmartHaus Research • 2024 • Patent Pending

A novel approach to AI memory using holographic principles from quantum physics. Demonstrates perfect recall with partial queries and context preservation across sessions.

ψ(r) = ∫ A(k)e^(ik·r)dk

AIUCP: Multi-Model Orchestration Architecture

SmartHaus Research • 2024 • Patent Pending

Unified control plane for orchestrating multiple AI models with mathematical guarantees on consistency, fallback chains, and optimal model selection.

Response = argmax P(M_i|Context) × Quality(M_i) / Cost(M_i)

LEF: Quantum-Inspired Execution Framework

SmartHaus Research • 2024 • Patent Pending

Particle-based execution model for AI operations. Breaks complex tasks into quantum-like particles with superposition, entanglement, and collapse mechanics.

|ψ⟩ = Σ_i α_i|particle_i⟩, Σ|α_i|² = 1

LQL DAG Calculus: Compositional AI

SmartHaus Research • 2024 • Patent Pending

Category theory approach to AI composition. Directed acyclic graphs with functorial properties ensuring mathematical consistency in complex workflows.

DAG: (V,E) → Cat, F: DAG₁ → DAG₂ preserves composition

AIOS Biology Calculus: Cognitive Modeling

SmartHaus Research • 2024 • In Review

Mathematical modeling of biological intelligence for AI systems. Differential equations describing learning, adaptation, and emergent cognitive behaviors.

∂C/∂t = D∇²C + R(C,N) - γC

Open Research Problems

We're actively researching these mathematical challenges. Join us in solving the fundamental problems of AI.

Holographic Superposition

H(ψ₁ + ψ₂) ?= H(ψ₁) + H(ψ₂)

Can multiple memory states exist in quantum superposition? How do we collapse to the correct memory state?

Categorical AGI

AGI: Universe → Mind

Is there a functorial relationship between physical reality and artificial general intelligence?

Proof Complexity

P ?= NP for AI verification

Can we efficiently verify AI behavior in polynomial time? What are the complexity bounds on AI proofs?

Consciousness Metrics

Φ = ∫ I(S) dS

Mathematical definition of machine consciousness. Can integrated information theory apply to AI?

Research Tools & Resources

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Proof Library

Coq and Lean proofs for all our mathematical claims. Formally verified, open source.

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Calculus Notebooks

Interactive Jupyter notebooks demonstrating our mathematical concepts with live code.

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Research Collaboration

Partner with us on fundamental AI research. Academic and industry collaborations welcome.

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Mathematics is Our Foundation

Every SmartHaus system is built on mathematical proof. Join us in proving the future of AI.