According to the company, synthetic data can also represent more diversity than original data. Beyond privacy, other use cases include rebalancing a dataset to tailor it to a model or remove ...

Preparing real-world data for AI training is a labor-intensive process, often involving large-scale collection, tagging and validation. This can be time- ...

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

may be able to create a synthetic data set with a higher proportion of Black faces, but those faces may end up being less lifelike given the limited original data. Join us March 29-30 at EmTech ...

Clear guidelines should be established for the generation and processing of synthetic data to ensure transparency, accountability and fairness, a new study says. Clear guidelines should be ...

Those at the cutting edge of ML are increasingly turning to synthetic data to circumvent the numerous constraints of original or real-world data. For instance, company Synthesis AI offers a cloud ...

What's more, synthetic data can help reduce bias in AI models. Traditional datasets are often shaped by the biases present in the original data collection process, which can skew the outcomes of ...

software that generates synthetic data that statistically represents original data sets without compromising privacy while also simplifying processes and saving resources, according to SAS.