What Role Does Machine Learning Play in Process Compensation?
Machine learning has emerged as a powerful tool for process compensation in nanotechnology. By analyzing vast amounts of data from previous processes, machine learning algorithms can identify patterns and predict potential deviations. These predictions enable proactive adjustments to the process parameters, reducing the likelihood of errors and enhancing the overall efficiency and accuracy of nanofabrication.
