While the datasets are useful tools for training AI models, they do come with their own risks, from regulatory risks to ...

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 ...

Researchers were invited to submit survey questions that were fielded to a nationally representative sample of 2,000 ...

COMMISSIONED: As with any emerging technology, implementing generative AI large language models (LLMs) isn’t easy and it’s totally fair to look side-eyed at anyone who suggests otherwise. From issues ...

Pioneering work by the so-called “Godfathers of AI,” 2018 Turing Award winners Yoshua Bengio, Geoffrey Hinton and Yann LeCun, along with Fei-Fei Li’s creation of ImageNet, helped lay the groundwork ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the advantageous use of ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Edge Impulse, the leading platform for building, refining and deploying machine learning models to edge devices, has launched new capabilities that leverage ...

Dr Gulzar Singh explains how the growing use of synthetic data and constructed decision environments in banking has quietly outpaced the governance frameworks designed to ensure accountability, ...