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Comprehensive SPARC-methodology research for future cognitive substrate technologies (2035-2060) exploring: - Processing-in-Memory architectures (PIM, UPMEM, ReRAM) - Neuromorphic and photonic computing (SNNs, silicon photonics) - Learned manifold storage (INR, Tensor Train decomposition) - Hypergraph substrates with topological queries (TDA, sheaf theory) - Temporal memory with causal inference (TKGs, predictive retrieval) - Federated cognitive meshes (post-quantum crypto, CRDTs) Research includes: - 75+ academic papers catalog across 12 domains - 50+ Rust crates assessment - Modular architecture design with pseudocode - Technology horizons analysis through 2060 This is a research-only SDK consumer design that does not modify any existing ruvector crates. |
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| SPECIFICATION.md | ||