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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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| .. | ||
| agentic-jujutsu | ||
| exo-ai-2025 | ||
| graph | ||
| nodejs | ||
| refrag-pipeline | ||
| rust | ||
| wasm-react | ||
| wasm-vanilla | ||
| advanced_features.rs | ||
| agenticdb_demo.rs | ||
| gnn_example.rs | ||
| graph-cli-usage.md | ||
| graph_wasm_usage.html | ||