高等教育と研究における次世代コンピューティング

The U.S. government recognizes its important role in broadening access to AI resources for workforce development with the passage of the $280B CHIPS & Science Act. The National Science Foundation is leading an effort to create a national network of AI research centers by facilitating partnerships between government agencies, academic institutions, and industry leaders. A model example of such a partnership is that of the University of Florida and NVIDIA, who in 2021 built the largest AI supercomputer in academia. This conversation with key individuals from industry, academia, and government will review how the partnership was constructed & implemented, national goals for equitable AI research & education, and how federal agencies can learn from this project to strengthen the American workforce as a whole.

Conventional microelectronics design tools employ modeling and simulation to study system performances and limitations. Over the last decade, the microelectronics design space has grown exponentially because of the enormous growth in computing architecture types and application software. Computer simulators are commonly used for microelectronics design exploration. However, complex chip simulations, utilizing these conventional simulators, take an enormous amount of time. AI-based methods for microelectronics design are gaining popularity due to reduced cost and time-to-market for chip design and fabrication. We'll discuss AI-based approaches for microelectronics design and fabrication.