Ternary Machine Learning for Autonomous Systems
Metadata hidden inside the weight stream itself — the unused fourth bit-pattern carries configuration.
Explore the Vision
Discover this technology through five complementary perspectives — from technical architecture to partnership outcomes. Each layer reveals a different aspect of how this innovation creates value.
Metadata hidden inside the weight stream itself — the unused fourth bit-pattern carries configuration.
What It IS
Technical VisionThe architectural essence — what makes this technology work
A stream of packed ternary weights — 00, 01, 10 encoding the three values — with the unused pattern 11 serving as an escape code for embedded metadata. Provenance, configuration, and integrity markers woven directly into the weight data. Self-describing neural network weights.
Abstract
Comprehensive system integrating all ternary technologies (NPU, agents, confidence, security) for general autonomous system deployment.
Visual Essence
A stream of packed ternary weights — 00, 01, 10 encoding the three values — with the unused pattern 11 serving as an escape code for embedded metadata. Provenance, configuration, and integrity markers woven directly into the weight data. Self-describing neural network weights.
Technology Domains
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