Poor data governance can lead to a myriad of issues that include data interpretation inconsistencies, security ...

Merit is making its Scholars program widely available. It's a team of experts to fine-tune generative AI models for ...

Compact representation of graph data is a fundamental problem in pattern recognition and machine learning area. Recently, graph neural networks (GNNs) have been widely studied for graph-structured ...

Kernel principal component analysis (KPCA) is a well-established data-driven process modeling and monitoring framework that has long been praised for its performances. However, it is still not optimal ...