CGIG Architecture for Painless Surgery using AGI

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Vijay Krishnan Ramalingam
Project Owner

CGIG Architecture for Painless Surgery using AGI

Expert Rating

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Overview

How AGI-Driven Nanobot Surgery Works Instead of requiring surgical incisions, patients will swallow or inhale nanorobots, which navigate through the body to the affected site. The AGI-based Common Goal and Individual Goal system ensures: 1️⃣ Common Goals (Swarm Intelligence for Surgery) ✔ Self-Assembly at Target Site ✔ Real-Time AI Coordination ✔ Error Detection & Self-Correction ✔ Safe & Controlled Execution 2️⃣ Individual Goals (Autonomous Nanobot Actions) ✔ Navigation & Target Recognition ✔ Tissue Repair & Regeneration ✔ Energy Efficiency ✔ Safe Exit Strategy – After the procedure, nanobots dissolve naturally or exit through metabolic processes.

RFP Guidelines

Decentralized Digital Identity (DDI) Research

Internal Proposal Review
  • Type Community RFP
  • Total RFP Funding $120,000 USD
  • Proposals 14
  • Awarded Projects n/a
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Juana Attieh
Feb. 2, 2025

The goal of this project is to conduct research on solutions and requirements for a decentralized digital identity (DDI) hub tailored to the needs of the SingularityNET ecosystem and its reputation system. This will include research into how existing DDI solutions can be integrated into a single hub that will allow for the creation of reputation scores that can be tied to unique verifiable identities while maintaining privacy. Part of the RFP is the definition of 2 or 3 RFPs for development of the envisioned system. This RFP is closely connected to the Reputation Platform RFP, and should be guiding the data privacy and identity integration solution of that RFP. 

Proposal Description

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  • Total Milestones

    3

  • Total Budget

    $120,000 USD

  • Last Updated

    16 Feb 2025

Milestone 1 - AI-Driven Design & Simulation

Description

AGI Model Development & Training – $20,000 Biomechanical & Swarm Intelligence Simulations – $10,000 Computing Resources (AWS, GPUs, Cloud Infra for AI) – $5,000 Initial Prototype Materials & Lab Setup – $5,000

Deliverables

AGI-Powered Swarm Intelligence Model ✅ CGIG Framework Implementation – AI-driven Cognitive, Global, Individual, Group swarm intelligence for decision-making. ✅ Self-Learning AI Algorithms – Adaptive, non-backpropagation learning for autonomous optimization. ✅ Simulation Environment for Self-Correction – Nanobot agents improving surgical precision via recursive self-improvement (RSI). 2️⃣ Biomechanical & Swarm Behavior Simulations ✅ Tissue Interaction Simulation – High-resolution modeling of nanobot movement inside soft tissues. ✅ AI-Guided Navigation & Targeting – Swarm coordination tests to avoid nerve interference and improve efficiency. ✅ Automated Healing Simulation – Testing AI-driven self-repair & post-surgical healing processes. 3️⃣ Energy & Communication Protocols ✅ Wireless Power Transfer Feasibility Study – Ensuring continuous nanobot operation without batteries. ✅ AI-Nanobot Communication System – Implement low-latency, bio-safe signal transmission for real-time AI control. 4️⃣ Prototype Design & Tech Stack Selection ✅ First-Gen Nanobot Conceptual Model – CAD designs for micro-fabrication & functional prototypes. ✅ Material Selection for Biocompatibility – Research on safe, non-toxic nanobot materials for in-vivo deployment. ✅ AGI Model Training Infrastructure – Cloud resources (AWS, GPUs) to train and simulate nanobot behaviors.

Budget

$40,000 USD

Success Criterion

A fully designed AI-driven nanobot system with high-fidelity simulations, ready for prototype manufacturing in Milestone 2.

Milestone 2 - Prototype Manufacturing & Lab Testing

Description

✅ Fabricate AI-Guided Nanobots – Leverage advanced nanofabrication methods for biocompatible, self-replicating bots. ✅ Swarm Intelligence Training – Train AI models on surgical scenarios and self-correcting behaviors. ✅ In-Vitro Testing on Synthetic Tissues – Validate nanobot accuracy, painless interaction, and automated healing response. ✅ Optimize Cost Structure – Develop scalable production models to meet the $100 surgery goal.

Deliverables

1️⃣ First-Gen AI-Guided Nanobot Prototype ✅ Micro/Nanofabrication of Surgical Nanobots – Develop the first physical prototypes with biocompatible materials. ✅ AGI-Controlled Actuation & Mobility – Implement precise movement mechanisms for targeted surgical actions. ✅ Wireless Power Integration – Develop and test energy-efficient operation via external power transmission. 2️⃣ AI-Driven Swarm Intelligence Implementation ✅ Onboard AI for Self-Organizing Behavior – Enable real-time, adaptive decision-making based on AGI training. ✅ Swarm Coordination Algorithms – Implement multi-agent navigation, target selection, and obstacle avoidance. ✅ Error Correction & Self-Healing Mechanisms – Ensure real-time recovery from failures during surgical tasks. 3️⃣ In-Vitro Lab Testing on Synthetic Tissues ✅ Precision & Targeting Evaluation – Validate nanobot accuracy in simulated human tissue environments. ✅ Painless Surgery Feasibility Study – Measure nerve interaction, inflammation, and bio-compatibility. ✅ Automated Post-Surgical Healing Test – Assess AI-driven self-repair and tissue regeneration processes. 4️⃣ Optimization & Cost Reduction for $100 Surgery ✅ Material & Fabrication Cost Analysis – Optimize manufacturing for affordability. ✅ Swarm Computing Efficiency Study – Reduce computational overhead for low-power AI operation. ✅ Scaling Strategy for Mass Production – Develop a roadmap for industrial-scale nanobot manufacturing.

Budget

$50,000 USD

Success Criterion

A fully functional, AI-powered nanobot prototype successfully tested in lab conditions, ready for pre-clinical trials and investor demonstration in Milestone 3

Milestone 3 - Pre-Clinical Trials & Investor Demonstration

Description

Live Demo of AI-Driven Surgery – Showcase real-time nanobot-based surgery simulation for investors. ✅ Animal Testing (Ethical, Small-Scale) – Conduct preliminary trials to verify safety and effectiveness. ✅ Final Swarm Coordination Optimization – Ensure collective decision-making efficiency in surgical operations. ✅ Regulatory & Market Roadmap – Begin compliance processes for clinical adoption and prepare for mass-market deployment.

Deliverables

Pre-Clinical Testing (Animal Trials & Validation) ✅ Small-Scale Animal Testing – Conduct preliminary trials on small mammals (e.g., mice, rabbits) for biocompatibility and surgical precision. ✅ Tissue Interaction & Healing Studies – Measure pain response, inflammation levels, and automated tissue healing efficiency. ✅ Safety & Regulatory Compliance Review – Assess ethical considerations and early regulatory approval feasibility. 2️⃣ Swarm AI Optimization for Real-Time Surgery ✅ Enhance AI Decision-Making – Improve self-adaptive behavior based on real-world data. ✅ Speed & Accuracy Enhancements – Optimize nanobot precision, task completion time, and energy efficiency. ✅ Scalability Testing for Mass Deployment – Ensure swarm stability and coordination in larger-scale operations. 3️⃣ Live Investor Demonstration & Pitch Preparation ✅ Interactive Demo of AI-Nanobot Surgery – Present a real-time simulation and/or live test on synthetic tissue. ✅ Investor Pitch Deck & Business Strategy – Develop a compelling funding proposal for clinical trials. ✅ Market Analysis & Cost Breakdown – Showcase how to reduce surgery costs to $100 per procedure. 4️⃣ Regulatory & Commercialization Roadmap ✅ Preliminary FDA/Medical Compliance Strategy – Prepare for fast-tracked human trials. ✅ Partnership Outreach to Medical Institutions – Connect with hospitals, biotech firms, and investors. ✅ Roadmap for Large-Scale Deployment – Define the path from prototype to real-world adoption.

Budget

$30,000 USD

Success Criterion

A validated AI-driven nanobot surgery prototype, demonstrated to investors, with a roadmap for clinical adoption and commercialization.

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