Research on why autonomous AI agents don't know when to stop, and three engineered fixes.
A research and education portal focused on semiconductor learning (Edusemi) and the AITL structured AI architecture for system design. （半導体学習 Edusemi と、システム設計のための構造化AIアーキテクチャ AITL を扱う研究・教育ポータル）
AITLの中核理論（推論・制御・物理的制約付きAI）をまとめたリポジトリ。 Core theoretical foundations of AITL: reasoning, control, and physics-informed AI.
Education and training documentation for design engineers based on AITL (Architecture for Integrated Technology Logic), aligned with ISO 9001 competence requirements.
AITL構想に基づく国家レベルのAI×制御×物理統合設計に関する戦略提案書（教育・産業・防災対応） National-level strategic proposal for the AITL architecture: AI x Control x Physical integration for education, industry, and disaster resilience in Japan.
Physical reference PCB for fixing abstract control logic into real voltage/current behavior.
Design Recovery Control is a control architecture that recovers control design assumptions under system degradation, using layered supervision of PID, FSM, and LLM.
Educational project that explores the AITL control architecture (PID × FSM × LLM) from Python modeling to ASIC implementation using Verilog, OpenLane, Magic, and ngspice.
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