Bio-IA Supercomputer: Concept, Design, and Implementation of an AI-Integrated Biocomputer

> This publication presents the design, fabrication, and integration of a Bio-AI Supercomputer, a novel hybrid system combining biological computation and artificial intelligence.

The work details:

Molecular logic circuits using DNA and enzymatic reactions,

Microfluidic processor design for cellular computation,

Real-time AI supervision for adaptive learning and self-correction,

Comparative performance against quantum and neuromorphic computing systems.

This research introduces a new computational paradigm where life and machine intelligence converge, enabling scalable, energy-efficient, and self-evolving computation.

The methodology includes step-by-step fabrication protocols, AI model training, and experimental data acquisition, making it reproducible for laboratories and independent researchers worldwide.

✅ Outcome:

This methodology transforms a biological logic system into a self-learning, intelligent, and scalable supercomputer, powered by molecular computation and AI supervision — a new computational paradigm entirely conceived by Ndenga Lumbu Barack (BarackEinstein97).