Current medical Artificial Intelligence systems face a dual challenge: the "black box" nature ofdeep learning models leads to a lack of interpretability, and the centralization of sensitive patient data createssignificant security vulnerabilities. This paper presents ASIC-RAG-CHIMERA , a novel architecture thatrepurposes obsolete Bitcoin mining
Hardware-accelerated RAG for scalable healthcare blockchain in resource-constrained environments using ASIC miners
Hardware-Accelerated Cryptographic RAG System — GPU simulation of SHA-256 hash engine with AES-256-GCM encryption and Merkle tree integrity. NOT real ASIC hardware.
Complete multi-version ASIC-enhanced medical image anomaly detection system using SHA-256 ASIC as deterministic CNN attention
Holographic Reservoir Computing Framework (Simulation + Optional ASIC Hardware)
Research proof-of-concept. ~2-5% accuracy on ARC-AGI. NOT an ARC Prize submission. GPU compute-shader playground.
Real experimental data and validation results from Lucky Miner LV06 ASIC-RAG-HEALTH experiments
5 captures since 2026-06-04
V4/requirements.txt
· python · 12 dependencies
V4/setup.py
· python · 0 dependencies