The Potential of A.I. in the Semiconductor Fab

presented by Howard Witham, Vice President of Texas Operations, Qorvo

Artificial intelligence has brought human beings to a point in history, for our industry and the world in general, that is more revolutionary than a small, evolutionary step. Now, the application of neural networks to semiconductor manufacturing is beginning to automate the role of the engineer. See exactly how AI provides predictive maintenance, auto defect and wafer map classification, outlier detection, automated recipe setups based on device requirements and upstream data, and dynamic interpolation and guard-banding. For factory yield control, algorithms determine process inputs and outputs to optimize fab yield, and a Digital Twin of the entire factory enables advanced analytics to predict and improve fab yield. It also enables device, lot, and product specific input optimization.