High Performance RDMA-based Design for Big Data and Web 2.0 memcached

How We Use Synthetic Data to Improve Performance and Break Away from Dataset Constraints

In this contributed article, Jan Lunter, CEO & CTO of Innovatrics, highlights how synthetic data is an efficient technology to supplement datasets with types of data that are underrepresented. The advancements made in recent years in generative adversarial networks (GANs) allow us to leverage the benefits of generating synthetic data for a wide range of machine learning (ML) applications.