AI for semiconductor manufacturability

AI builds models that interact with the surrounding environments of semiconductor manufacturing equipment to optimize the manufacturing process for scaling semiconductor devices.

The equipment model has an intelligence that trains various factors governing performance and accuracy and determines the process recipe and equipment configurations in real time. The model integrates features such as environmental information and process recipe obtained by sensing. Our goal is to realize autonomous and accurate process control that manufactures scaled semiconductor devices through regular process control optimization.