Process proximity correction method and the computing device for the same

[0019]FIG. 1 is an exemplary block diagram showing a process proximity correction computing device according to some embodiments.

[0020]Referring to FIG. 1, a computing device 100 according to some embodiments may include a plurality of processors 110, a random access memory 120, a device driver 130, a storage device 140, a modem 150, and user interfaces 160.

[0021]At least one of the processors 110 may execute a semiconductor process machine learning module 200. The semiconductor process machine learning module 200 may generate a layout for fabricating a semiconductor device on the basis of machine learning. For example, the semiconductor process machine learning module 200 may be implemented in the form of commands (or codes) executed by at least one of the processors 110 (also described as software or computer program code executed by hardware). At this time, at least one processor may load the commands (or codes) of the semiconductor process machine learning module 200 into the rando