AGEIUM's technology is built on academic foundations
The first system combining a four-tier adaptive cache (L0 ARC → L1 SSD → L2 HNSW Vector → L3 Persistent) with a Bayesian self-evolution engine for CI/CD build caching. Achieves 99.2% hit rate with 814ns median lookup. HNSW vector similarity recovers 7.1% of cache misses that all existing systems discard.
Read PaperWe present a framework applying causal symbolic regression to ASSB material candidate search, reducing the search space by 97% versus DFT and achieving ionic conductivity prediction error below 0.03 eV.
Read PaperWe propose an AI cognitive architecture combining a Big Five personality matrix with causal reasoning gates. DIO v5.0 achieves 95%+ agent consistency through a 16-layer sovereign pipeline.
Read PaperWe introduce BiCE-7, integrating counterfactual reasoning with Bayesian causal graphs. It achieves precision@5=1.0 for intervention effect estimation with 41% variance reduction versus SOTA.
Read PaperAn 8-phase pipeline separating LLM text generation from deterministic code validation. 46 quality gates achieve zero hallucination leakage. 32,636 LOC Rust, KIPO filing accepted.
Read Paper6 algorithmic frameworks powering DIO
Bayesian Interventional Causal Estimator
Adjoint Reverse Causal Propagation
Dynamic Relation Framework
Persona-Sovereign Injection Framework
Interventional Distribution Calculus
Hyperbolic Geometry Memory System
Explore the frontier of AI cognitive architecture with AGEIUM's research team.
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