Towards next-generation electronic-photonic devices and systems for intelligent sensing- photonics for AI and AI for photonics
Abstract
We will propose and tape out customized photonic devices and circuits for future ultracompact and energy-efficient sensing-activated photonic AI chips that resolve the scalability and robustness issues of state-of-the-art photonic AI chips. Novel chip based optical sensors will be explored. Additionally, we will propose AI-based photonics that will learn, model, automate and extend the potential of human design to improve the design efficiency, device performance, and variation tolerance of photonic devices through the use of AI-based design algorithms. Moreover, AI-based photonics will significantly enhance the robustness of photonic AI chips through fast and accurate circuit modeling and controlling. Together, our AI-assisted photonic design and modeling approaches will provide a synergistic solution to better photonic devices and circuits for computing, interconnect, and sensing. Likewise, our proposed sensing-activated photonic AI chip will meet the surging needs of real-time data processing capabilities on various occasions, such as Target recognition for AF and Space Force interest, environment monitoring, and biosensing.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 06, 2024
- Source ID
- FA95502310452
Entities
People
- Ray Chen
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Texas at Austin