Zero-Skip Gating for Ternary Neural Networks
Normalisation layers dissolve into the ternary fabric — no floating-point tax.
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.
Normalisation layers dissolve into the ternary fabric — no floating-point tax.
What It IS
Technical VisionThe architectural essence — what makes this technology work
Layers of mathematical operations collapsing into a single crystalline plane. Where batch normalisation once demanded floating-point arithmetic, ternary fusion absorbs the computation directly into the weight encoding. A complex multi-layered structure simplifies into elegant unity.
Abstract
Patent covering dynamic zero-skip mechanisms that eliminate zero multiplications in ternary inference, reducing compute by up to 40% without accuracy loss. Includes hardware implementation details.
Visual Essence
Layers of mathematical operations collapsing into a single crystalline plane. Where batch normalisation once demanded floating-point arithmetic, ternary fusion absorbs the computation directly into the weight encoding. A complex multi-layered structure simplifies into elegant unity.
Technology Domains
Related Patents
From the silicon-awakening visual family
Ternary Neural Processing Unit Architecture for Binary NPU Optimization
Existing chips run ternary — no new silicon required.
Ternary Weight Pruning and Sparsification
Weights and activations co-designed — the whole pipeline speaks three values.
Mixed-Precision Ternary Inference Scheduling
The architecture searches itself — evolution finds the optimal ternary shape.
Cache-Aware Ternary Inference on NPU
Precision shifts on the fly — full power when needed, whisper-quiet when not.