GenAI-Diagnostic_Agent

Patent: AI/NLP-powered diagnostic agent for Systems-on-Chip debugging and device failure remediation

🛠️ Automated Troubleshooting for Integrated Circuits and SoC Platforms

📜 Patent Overview

Patent Title: Generative AI-Based Intelligent Troubleshooting and Recommendation Framework for Integrated Circuits and System-on-Chip Platforms
Patent Number: US20240086445A1
Inventor: Murat Çakir (and co-inventors as listed)
Filing Date: 2022-09-23
Publication Date: 2024-03-14

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🔍 Abstract (Brief Summary)

This patent describes an automated system and method for identifying, categorizing, and resolving failures in integrated circuits (ICs) and Systems-on-Chip (SoC) platforms. It leverages:

• Data-driven failure analysis
• Deep learning models
• Automated logging and diagnostic workflows

to improve turnaround time and reduce manual intervention during IC validation, debugging, and emulation phases.

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💡 Key Innovations

✔️ Dynamic analysis and categorization of failure types
✔️ Automated root-cause suggestions using historical failure data
✔️ Integration with existing IC validation workflows to minimize downtime
✔️ Scalable framework applicable to complex SoC platforms

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🔗 Use Cases

• Silicon validation and bring-up
• Emulation platform debugging
• Automated diagnostic toolchains for large-scale SoC projects

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🚀 Relevance

This patent underpins advanced AI-assisted debugging tools and predictive diagnostics frameworks used in semiconductor workflows, enhancing productivity and quality assurance for engineering teams.

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📂 Repository Contents (if creating a dedicated repo)

• README.md – Overview and abstract
• PATENT.md – Full structured patent summary with claims (if public)
• implementation_notes.md – Non-confidential notes on implementation strategies
• /docs/ – Supporting publications, slides, or demo architectures
• /src/ – (If open sourced) Related demo scripts, data parsing tools, or architecture diagrams

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🛡️ Confidentiality Notice

This repository shares publicly disclosed information only. Proprietary internal implementation details are not included.

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👤 Contact

For collaborations, licensing inquiries, or implementation discussions:

Murat Çakir
LinkedIn | Email

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