Nvidia is one of the world’s most highly valued companies. A new book suggests its Taiwanese-born CEO is as grounded as any centibillionaire could be.

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

Data augmentation, which involves generating synthetic data from existing datasets, has gained significant attention as a solution to data scarcity. In particular, diffusion models have become a ...

RoVi-Aug, the new robot data augmentation framework introduced by the researchers, is based on state-of-the-art diffusion models. These are computational models that can augment images of a robot's ...

For a simplistic view of data processing architectures, we can draw an analogy with the structure and functions of a house. The foundation of the house is the data management platform that ...

Large and high-quality training datasets are of critical importance for deep learning. In the context of the semantic segmentation challenge for UAV aerial images, we propose a strategy for data ...

The training and optimization of ML models require large data sets which are not available in the context of biopharmaceutical processing. Generative methods to extend data sets with realistic in ...