A new technical paper titled “An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design” was published by researchers at the University of Texas at Austin, Nvidia ...

Discover the benefits of data augmentation in AI, including improved generalization, increased dataset size, and enhanced model robustness Nucleus_AI 2699 Stories Monday June 19, 2023 , 3 min Read ...

The term data augmentation refers to methods for constructing iterative optimization or sampling algorithms via the introduction of unobserved data or latent variables. For deterministic algorithms, ...

This study presents a non-invasive approach to detect anxiety and depression through gait analysis and machine learning, ...

Extensive ablation studies demonstrate that the proposed approach can be seamlessly combined with existing methods to enhance the robustness of the baseline model. DOI: 10.1007/s11704-023-3455-4 ...

However, Kolmogorov suggested a solution could be data augmentation, ... “I think the challenge becomes how do we get in front of every AI model use case going on within the company, ...