An AI model developed by scientists at King's College London, in close collaboration with University College London, has produced three-dimensional, synthetic images of the human brain that are ...

As AI demand outpaces the availability of high-quality training data, synthetic data offers a path forward. We unpack how synthetic datasets help teams overcome data scarcity to build production-ready ...

The Synthetic hEalthcare dAta goveRnanCe Hub (SEARCH) aims to accelerate healthcare innovation by generating FAIRified synthetic data for use in AI/ML models Today sees the launch of the Synthetic ...

Synthetic data generation has emerged as a crucial technique for addressing various challenges, including data privacy, scarcity and bias. By creating artificial data that mimics real-world datasets, ...

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 ...

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

Gretel, a provider of synthetic data generation, is releasing Gretel Navigator, an agent-based, compound generative AI system built to automate data creation and curation processes for AI development.

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 ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

An image from the study, showing the areas of the brain affected by Alzheimer’s disease (yellow) found when using real data and when using synthetic data generated by several methods. As you can see, ...