AI technologies, aimed at assisting human experts, are used to speed up the chip placement process

– A chip placement consists of rectangular grids, with each grid containing parts of one or more modules

– Convolutional neural networks and other deep learning architectures were used to improve the quality of chip placement by predicting good and bad placements with high accuracy

– Computationally-efficient generative models were used to generate chip placements; AI models were used to predict good ones for production