Based on my expertise, I like to classify synthetic data into the following three primary types: fake or rule-based generation, simulations and, last but not least, data-driven generation through ...

Along the way, Tonic’s algorithms de-identify the original data and create statistically identical but synthetic data sets, which means that personal information isn’t shared insecurely.

To create synthetic data, complex algorithms take an original data set and replicate the patterns, structures, and other characteristics found within that data.

After all, it's much easier (and cheaper) to get really good at generating synthetic data than it is to digitize messy pages of handwritten notes. Even Meta used both human and synthetic data to ...

And the Synthetic Data Vault, a project launched in 2021 by MIT’s Data to AI Lab, provides open-source tools for creating a wide range of data types. Never miss a breakthrough ...

Synthetic data -- generated through machine learning algorithms from original real-world data -- is gaining prominence because it may provide privacy-preserving alternatives to traditional data ...

Synthetic data will be a huge industry in five to 10 years. For instance, Gartner estimates that by 2024, 60% of data for AI applications will be synthetic. This type of data and the tools used to ...

The move will enhance SAS’ data and AI technology portfolio, providing customers with “critical and timely” synthetic data generation capabilities as they step up their use of AI.

An artificial intelligence-enabled synthetic data generator that converts clinical data of any kind into equivalent, mock versions that don't expose sensitive patient-identifying details is being ...