We are thrilled to have contributed to the white paper on Digital Twins from the SEMI Smart Manufacturing Initiative.
Drawing upon our expertise in fab scheduling leveraging Deep Reinforcement Learning, our involvement centered on data-driven methodologies for digital twins. Specifically, we explored the potential of deep learning (AI) to create and maintain digital twins by extracting fab dynamics from data, or how digital twins for fab optimization by AI require a different design than those for decision support.
The paper contains the following topics:
- Introduction & Benefits: Digital Twins in Semiconductors
- Current Status of Semiconductor Digital Twins
- Case Studies & Future Use Cases
- Challenges in Implementing Semiconductor Digital Twins
- Recommendation & Next Steps for the Semiconductor Industry
You can read the full white paper here: https://discover.semi.org/digital-twins-in-semiconductor-operations-whitepaper-registration.html
