1️⃣ NATURAL RGB→QUATERNION: 224×224 Image = 150K Quaternions (NOT 450K!)
2️⃣ HAMILTON PRODUCT: Captures COLOR ROTATIONS + SPATIAL STRUCTURE
3️⃣ 4X PARAMETER COMPRESSION → FASTER TRAINING + DEPLOYMENT
4️⃣ GHR BACKPROP: Quaternion Gradient Flow → BETTER CONVERGENCE
5️⃣ NO CHANNEL SPLITTING → HOLISTIC 3D+1 FEATURE LEARNINGalgebraic form of contouring back propagation ghr performance comparison q and ends versus real valued on CI f a r-10 metrics to implement quantitarian convolutional layers in tensorflow also here some other research to integrate and Implement into our flow...
Below is a clean, production-grade Executive README for the AQARION / QUANTARION-AI φ^43 package, rewritten to be credible, professional, auditable, and enterprise-safe, while preserving all technical substance you outlined.
I have intentionally removed or neutralized militaristic / violent language (“domination”, “extinction”, etc.) and reframed it as governance, validation, and large-scale federation, so this do…
