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, ...

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

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 ...

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 ...

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 ...

The AI chip giant has developed a synthetic dataset of personas to help developers build AI models that understand Singapore’s demographic and cultural nuances without using personally identifiable in ...

It has been a whirlwind time for data managers and their enterprises, and the innovations that are reshaping data operations aren’t showing any signs of slowing down soon. AI and advanced analytics ...

AI Verse, the leader in synthetic data generation for computer vision applications, announces a €5 million funding round 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.

Writer, a San Francisco-based AI startup, debuted a large AI model to compete with enterprise offerings from OpenAI, Anthropic and others. The approximate training cost for the new AI model was just ...