Every synthetic dataset generated today trains tomorrow's models while potentially poisoning the ecosystem those models ...

In a time when health systems are struggling to gain meaningful insights from data – and simultaneously aware that safeguarding patient privacy is essential – synthetic data offers a lot of potential.

A Chinese research team has built an artificial intelligence system that never touched real-world data, yet still runs on ...

The first time synthetic data was used to mimic real-world data was in 1993 by Donald Rubin. He created data that was statistically like genuine data, but without the risk of privacy compromise. With ...

Databricks Inc. today introduced an application programming interface that customers can use to generate synthetic data for their machine learning projects. The API is available in Mosaic AI Agent ...

Abhishek Mittal discusses enterprise AI, imperfect data, agentic AI, synthetic data, and digital FTEs transforming financial crime workflows.

Synthetic data is becoming an increasingly attractive tool for companies looking to accelerate their AI development. By simulating realistic scenarios, it can protect privacy, speed up model training ...

Artificial Intelligence (AI) models are only as good as the data on which they are trained. Yet gathering enough high-quality ...

Editor’s note: This article, distributed by The Associated Press, was originally published on The Conversation website. The Conversation is an independent and nonprofit source of news, analysis and ...

The generation of synthetic data in healthcare has emerged as a promising solution to surmount longstanding challenges inherent in the use of real patient data. By replicating the underlying ...