AI Reinvents Chip Design

Designing microchips is among the most complex tasks in the digital world. It requires vast amounts of theoretical and practical knowledge, as well as a heaping dose of creativity. There are components to select, layouts to consider, and complex software models to understand. It is safe to say that squeezing millions or billions of circuits onto a tiny silicon wafer to eke out maximum performance with minimal energy consumption pushes up against the limits of human ingenuity. Design and engineering teams increasingly are turning to both classical AI and generative AI to rethink, reinvent, and remake the modern microchip.