🎓 Samizo-AITL Portal
“Read structures, create dynamics, accelerate with AI” — A portal for learning the fusion of physics and intelligence
The Samizo-AITL Portal is a personal project by Shinichi Samizo.
This project focuses on Semiconductors × Control × AI,
structurally organizing and connecting fragments of knowledge, phenomena, and technologies,
to be applied to education, proofs-of-concept (PoCs), and policy proposals.
While conversational AI such as ChatGPT is mainstream today,
the next frontier is “Physical AI” — intelligence directly tied to physical phenomena and structures.
Samizo-AITL, built on experience in both practical implementation and structural analysis,
develops education, PoCs, and strategic visions to use AI not only through words, but through physical actions.
🔗 Official Links
| Language | GitHub Pages 🌐 | GitHub 💻 |
|---|---|---|
| 🇺🇸 English |  |
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| 🇯🇵 Japanese |  |
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🔍 Projects Overview
Below are the main projects included in this portal,
developed from multiple perspectives including education, PoC, AI utilization, policy proposals, and social implementation.
Note
This page does not contain any confidential information from specific companies.
All materials are based on publicly available information, fundamental principles, and the author’s own experience and ideas.
| Icon | Project Name | Field | Description |
|---|---|---|---|
| 🧠 | SamizoGPT  |
[🧠 AI] | A collection of prompt designs and support templates for ChatGPT. ⚠️ Some AI assistance is used, but structure, verification, and writing responsibility remain with the author. |
| 📡 | SemiTechBot |
[💠 Semiconductor] [🧠 AI] | A chatbot specialized in semiconductor technical support (application of SamizoGPT). ⚠️ Flask-based bot app under development. |
| 🎓 | Edusemi-v4x |
[💠 Semiconductor] [🎓 Education] | Comprehensive semiconductor learning material covering process, design, and PDK exercises in a systematic way. |
| ➕ | Edusemi-Plus |
[💠 Semiconductor] [🧪 Materials] [🧠 AI] [💰 Investment] [🌍 Geopolitics] [🏭 Industry] | Extended resource linking semiconductors and social structures from the perspectives of materials, AI, industry, geopolitics, and investment. |
| 🎛️ | EduController |
[🎛️ Control] [🧠 AI] | A Control × AI learning material covering from PID control to LLM integration. |
| ⚙️ | EduMecha |
[⚙️ Mechanical] | Mechanical design exercises using Creo (enclosure structure design). ⚠️ Creo practice files are not included. |
| 🎓 | EduLms |
[🎓 Education] | LMS-ready material integrating quality, environment, and skill training. |
| 🤖 | AITL-H |
[🧠 AI] [🎛️ Control] | Three-layer intelligent control architecture (FSM × PID × LLM). ⚠️ Under development and testing. |
| 🖨️ | Inkjet |
[🛠 Product Technology] | Archive of inkjet structures, drive waveforms, and evaluation data. |
| 💰 | AssetPortfolio |
[💰 Investment] | Investment learning material for engineers focusing on ETFs and NISA. |
| 🎮 | Rekiden |
[🏯 History] [🧠 AI] | History simulation learning material integrated with ChatGPT. |
| 🏛️ | AITL-Strategy-Proposal |
[📑 Policy Proposal] | National strategy proposal centered on AITL (AI-Integrated Transition & Loop), integrating Education × Control × AI × Physical constraints. Grounded in PoC validations (semiconductors, robotics, space), it advances international standardization, economic security, and talent development. ⚠️ Draft stage. |
🧠 Background of the AITL Integrated Concept
AITL (AI-Integrated Transition & Loop) is a three-layer architecture that
combines PID control, FSM-based transitions, and LLM-driven redesign.
This enables real-time and physics-aware design, control, and reconfiguration.
Samizo-AITL builds on this concept, organically integrating
Semiconductors × Control × AI into a unified framework.
It connects the process of analyzing physical phenomena, validating through PoC,
and supporting design with AI to advance Education, Conception, and Design.
📘 All educational materials and PoC projects in this repository are released under a Hybrid License scheme:
- Code : MIT License
(Free to use, modify, and redistribute)- Text materials : CC BY 4.0
(Attribution required)- Figures & diagrams : CC BY-NC 4.0
(Non-commercial use only)- External references : Follow the original license of the source (with proper citation)
💡 The core curriculum, Edusemi-v4x,
is an educational program reconstructed from the author’s professional experience and research results.
It is not related to any specific products or corporate activities.
Would you like me to continue and include the Core Materials Table, Policy & Collaboration, Supplementary Docs, Author Info, and Career Summary in English as well so this matches the Japanese version exactly?
This will make the English version a full one-to-one counterpart.
📘 Structured Overview of Core Materials & PoC
| Icon | Project Name | Field | Description |
|---|---|---|---|
| 🎓 | Edusemi-v4x |
[💠 Semiconductor] [🎓 Education] | Foundational curriculum to systematically learn semiconductor processes, devices, design, testing, and reliability. |
| ┗ 📦 SystemDK Edition (Special Ch. 2a) |
[🧪 PoC] | Special module covering SI/PI, thermal, stress, EMI/EMC constraints, and heterogeneous integration PoC using GAA / AMS / MRAM. | |
| 🎛️ | EduController |
[🎛️ Control] [🧠 AI] | Curriculum to learn FSM, PID, and LLM control step-by-step, including HDL description templates. |
| ┗ 📦 SoC_DesignKit |
[🎛️ Control] [🧠 AI] | HDL template collection for SoC design (includes AI-assisted generation). | |
| 🤖 | AITL-H |
[🧠 AI] [🎛️ Control] [🧪 PoC] | Three-layer intelligent control architecture (FSM × PID × LLM) as a reproducible PoC. Development in progress. |
| ┗ 📦 PoC Manual |
[🧠 AI] [🎛️ Control] [🧪 PoC] | PoC procedure and configuration guide for AITL-H. |
🧩 Integrated Framework of Semiconductors × Control × AI × Educational Materials
flowchart TD
A[🎓 Edusemi-v4x<br/>Foundational Materials for Semiconductor SoC Design]
--> B[🎛️ EduController<br/>Control Theory × AI × SoC Design]
--> C[🤖 AITL-H<br/>Intelligent Control Architecture & PoC]
--> D[🏛️ AITL-Strategy-Proposal<br/>Integrated Framework of Semiconductors × Control × AI × Educational Materials]
style A fill:#e6f0ff,stroke:#3366cc,stroke-width:2.5px
style B fill:#fff7e6,stroke:#ff9900,stroke-width:2.5px
style C fill:#f0e6ff,stroke:#6633cc,stroke-width:2.5px
style D fill:#e8fff0,stroke:#2a8f6a,stroke-width:2.5px
🏛️ Policy Proposals, Collaboration, and International Initiatives
| Icon | Project Name | Field | Description |
|---|---|---|---|
| 🏛️ | AITL-Strategy-Proposal |
[📑 Policy Proposal] | National strategy proposal centered on AITL (AI-Integrated Transition & Loop), integrating Education × Control × AI × Physical constraints. Grounded in PoC validations (semiconductors, robotics, space), it advances international standardization, economic security, and talent development. ⚠️ Draft stage. |
📚 Supplementary Documents & Update History
| Icon | Item | Description |
|---|---|---|
| 🕘 | Update History |
Log of curriculum updates and structural changes. |
| 🧠 | ChatGPT Skill Evaluation |
Level 5 LLM usage skill evaluation from perspectives of structural design, memory utilization, and curriculum generation. |
| 📋 | Gemini Review |
Curriculum evaluation report by Google Gemini. |
👤 Author
| Item | Details |
|---|---|
| Name | Shinichi Samizo |
| Title | Independent Semiconductor Researcher |
| Education | M.S. in Electrical and Electronic Engineering, Shinshu University |
| Career | Former Engineer at Seiko Epson Corporation (since 1997) |
| ✉️ Email |  |
| 🐦 X |  |
| 💻 GitHub |  |
📌 Career Summary
Detailed report of Shinichi Samizo’s technical background and expertise:
- Semiconductor devices (Logic, Memory, High-voltage mixed-signal)
- Thin-film piezo actuators for inkjet
- PrecisionCore printhead productization, BOM management, ISO education
- Curriculum design, PoC construction, and AI-assisted design support
🚩 Flagship PoC: Humanoid Robot Control
⚠️ Note
This figure is a conceptual diagram for educational and PoC purposes.
- Stability and response design rely on control theory (e.g., PID).
- FSM and LLM serve as supervisory/adaptive layers, not part of the stability-guaranteed loop.
- Node configurations and performance are illustrative and subject to change through validation.
- No confidential information is included; it is based on public information, fundamental principles, and the author’s own experience.
This figure represents the flagship PoC of the Samizo-AITL strategy, demonstrating humanoid robot control.
It adopts a cross-node design spanning 22nm SoC, 0.18µm AMS, 0.35µm LDMOS, and energy harvesting—
linking advanced and legacy nodes to contribute to economic security, supply chain resilience, and cost efficiency.
Furthermore, it integrates SystemDK-based physical constraint analysis (thermal, stress, EMI, delay)
with the AITL three-layer control architecture (PID × FSM × LLM),
providing a framework for runtime, physics-aware DTCO that goes beyond conventional EDA flows.
🚩 Flagship PoC: Humanoid Robot →
Go to the PoC index page