Synthetic data augmentation is a way to overcome data scarcity in practical machine learning applications by creating artificial samples from scratch.

AI Terminology 101: Mastering Data Augmentation for Powerful Machine Learning Discover the benefits of data augmentation in AI, including improved generalization, increased dataset size, and ...

While advances in AI have been slow to reach commercial P&C insurance, new trends in data augmentation could help pick up the pace.

A VAE-based data self- augmentation strategy could relieve the contradiction between the accuracy and the insufficient training data in ML-based semiconductor device modeling.

To tackle this problem, we propose a litho-aware data augmentation (LADA) framework to resolve the dilemma of limited data and improve the machine learning model performance. First, we pretrain the ...