6G wireless communication systems promise breakthrough performance but also bring stringent, unprecedented requirements.

These requirements exceed the capabilities of traditional communication algorithms, necessitating new approaches.

Our work focuses on developing AI-driven solutions to handle the high complexity of critical tasks essential in 6G communications.

AI-driven semiconductor design automation offers unprecedented efficiency by accelerating complex design workflows and reducing human error.

Traditional design processes can no longer keep pace with modern semiconductor complexity, necessitating advanced, data-driven methods.

Our research focuses on developing and refining AI models to optimize critical design stages, enhancing both performance and reliability.

We leverage AI-driven strategies to enhance the cost-effectiveness and operational efficiency of nuclear carbon capture systems.

By analyzing real-time data and system-wide variables, our solutions pinpoint bottlenecks and uncover opportunities for optimization across the entire process.

This holistic approach ensures both improved economic viability and reduced environmental impact for next-generation nuclear carbon capture technologies.