🇺🇸 AITL Strategy Proposal v4.1 (Policy-Oriented, Improved)
⚠️ Note:
This proposal is v4.1 revised edition (policy-oriented, improved), and its contents are under review.
The detailed execution plan and policy roadmap will be updated based on future discussions.
📑 Table of Contents
- 0. Overview
- 1. Value of Feedback–Transition Integration
- 2. Value of AITL with LLM
- 3. Real-World PoC Examples
- 4. Need for SystemDK in AITL Implementation
- 4.1 Technical Challenges and Risks
- 5. Policy Recommendations
- 6. Conclusion
0. Overview
This proposal presents the AITL Strategy (AI-Integrated Transition & Loop), which integrates state feedback control and state transition control, further combined with LLM (Large Language Model) and SystemDK (System Design Kit), enabling real-time to quasi-real-time specification changes, fault-time redesign, and design considering physical constraints.
Traditionally, control, analysis, and physical implementation have been operated independently. In advanced-node semiconductors and next-generation autonomous systems, integrated operation of these on the same design platform is essential for securing international competitiveness. This proposal outlines a concrete framework to achieve that.
==The technologies integrated in this proposal—control (state feedback + state transition), analysis/design (LLM), and physical implementation optimization (SystemDK)—are complementary elements that directly share outputs and constraints.==
==This enables real-time, physically constrained integrated optimization that partial improvements cannot achieve.==
==Moreover, both the global semiconductor market and control industries are undergoing rapid change. Failure to integrate these three technologies “now” risks severe delays in national-level technology competition (e.g., EUV-era semiconductor design, industrial autonomous system control).==
==Especially, SystemDK is not limited to AITL-specific elements, but is a fundamental technology required for all advanced-node semiconductor design.==
1. Value of Feedback–Transition Integration
Integrated control eliminates the limitations of conventional control (local optimization, poor tolerance for specification changes, vulnerability to faults) and delivers the following benefits:
| Item | Effect |
|---|---|
| Stability | Maintains continuous and stable operation even across different modes |
| Flexibility | Responds flexibly to changing requirements during design and operation |
| Redundancy | Continues safe and efficient operation even with partial functionality loss |
📎 Mermaid Reference: View on GitHub
flowchart LR
A[State Feedback Control] --> C[Integrated Control Core]
B[State Transition Control] --> C
C --> D[Stability + Flexibility + Redundancy]
2. Value of AITL with LLM
AITL adds LLM (Large Language Model) to integrated control, creating new value.
| LLM Role | New Value |
|---|---|
| Situation Analysis | Automates anomaly detection and cause estimation from logs and sensor data |
| Quasi-Real-Time Design | Redesigns control algorithms and FSM structures within minutes to meet spec changes |
| Integrated Architecture Design | Generates complete designs—including integrated control—from specifications |
| Fault-Time Redesign | Rebuilds operating modes using remaining functions |
| SystemDK Collaboration | Reflects physical constraints and node characteristics from the design stage, selecting optimal implementation forms |
3. Real-World PoC Examples
- Robotic Control Integration
- Challenge: Conventional systems control each joint or arm separately, requiring total shutdown on failure
- AITL Solution: Integrated control + LLM generates control systems that allow continued operation with remaining arms even if one fails
- Smart Factory Line Optimization
- Challenge: Manual reconfiguration of alternative lines after failure takes days before restart
- AITL Solution: Integrated control optimizes the entire line; LLM analyzes equipment status and reconfigures alternative lines in minutes
- Autonomous Mobile Robot Fleet Control
- Challenge: Delays in path coordination reduce overall efficiency
- AITL Solution: Integrated control synchronizes global operation; LLM optimizes routes in real time based on traffic conditions
4. Need for SystemDK in AITL Implementation
When implementing AITL in real systems, physical constraints (thermal, stress, power, EMI, etc.) must be reflected from the earliest design stages.
SystemDK (System Design Kit) provides the platform to make this possible.
The scope of SystemDK extends beyond AITL to all semiconductor chips.
In particular, for future advanced-node semiconductor chips, design methodologies using SystemDK for integrated handling of physical constraints from the outset are essential.
- Enables early countermeasures for thermal and signal interference in high-density environments
- Integrates FEM analysis into design, achieving optimal co-design of circuits, packages, and boards
- Improves design efficiency, product reliability, and mass production yield in the long term
4.1 Technical Challenges and Risks
| Category | Challenge | Risk |
|---|---|---|
| AI Reliability | Guaranteeing LLM response accuracy and consistency | Control errors from misjudgment or hallucination |
| Security | Cyberattack resistance of integrated control systems | Production stoppages, reduced safety |
| Physical Model Integration | Combining FEM and other physical constraint models with real-time control | Design delays, performance degradation |
| Standardization & IP | IP and license adjustments accompanying standardization | Reduced international competitiveness |
5. Policy Recommendations
5.1 Expected Benefits (Model Case)
Assumption: AITL introduced in domestic manufacturing lines, estimates based on PoC evaluation data
| Item | Conventional | With AITL | Impact |
|---|---|---|---|
| Fault Response Time | 8 hours | 30 minutes | 94% reduction in downtime |
| Line Reconfiguration Time | 2 days | 2 hours | 8× productivity increase |
| Design Change Cost | 100 | 60 | 40% reduction |
5.2 Policy Roadmap
timeline
title AITL Policy Implementation Roadmap
2025-2027 : Launch foundational R&D programs
2027-2029 : Establish international standardization WG
2029-2032 : Launch industrial implementation consortium
6. Conclusion
The AITL strategy integrates previously siloed control technologies and AI-based design to create new industrial systems capable of immediate response to specification changes and failures.
In combination with SystemDK, it enables optimal implementations—whether single-chip or multi-chip—while considering physical constraints,
accelerating efficiency improvements and value creation across industries and society.
🔙 Back
Repository Home: https://github.com/Samizo-AITL/AITL-Strategy-Proposal
Contact: ✉️ shin3t72@gmail.com ｜ 🐦 https://x.com/shin3t72