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.
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 ...
Global tech executives are racing to deploy autonomous agents over the next two years, but in doing so they face a balancing act: How do you leverage data in a way that maximizes trust and confidence ...
AI Verse, the leader in synthetic data generation for computer vision applications, announces a €5 million funding round to ...
When federal researchers tried to build an AI model to detect fraud in disability claims, they ran into a roadblock: they couldn’t use real claimant data. The workaround wasn’t a weaker model — it was ...
Joint solution simplifies access to governed, production-like test data through synthetic data generation and masking, strengthening compliance for financial services, insurance, and telecom ...
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 ...
CEO Jensen Huang gave a presentation on Monday to kick off CES 2026, the big tech expo formerly known as the "Consumer ...
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