Interpretable hyperdimensional computing for language identification, built on torchhd. 97% accuracy across 21 languages, with prototype decomposition showing why.
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Updated
Aug 18, 2026 - Python
Interpretable hyperdimensional computing for language identification, built on torchhd. 97% accuracy across 21 languages, with prototype decomposition showing why.
Architecture mémoire isomorphe "Zero-Parse". Élimination de la sérialisation via Memory-Mapping (LMDB/Cap'n Proto) et calcul Hyperdimensionnel (TorchHD).
Advanced Retrieval-Augmented Generation that projects high-dimensional vector embeddings onto multi-layered data topologies. Mirroring optical holograms, it ensures contextual, interference-free, and hyper-accurate LLM responses. Solves multi-hop reasoning via native multi-angle querying. Fast, scalable, and plug-and-play.
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