Synthetic data has great potential to speed up biomedical research. There are many detailed resources and references on synthetic data and its use-cases; this page aims to demystify the terminology ...

In order to solve the problem of sparse training samples in logo recognition task, a multi-type context-based logo data synthesis algorithm is proposed. The algorithm comprehensively utilizes the ...

Clear guidelines needed for synthetic data to ensure transparency, accountability and fairness, study says Date: April 12, 2024 Source: University of Exeter ...

The widespread use of big data across various sectors has brought significant privacy concerns, particularly when sensitive information is shared or analyzed. Regulations like GDPR and HIPAA impose ...

MCP servers enhance the capabilities of foundation models (FMs) in several key ways: Improved Output Quality: By providing relevant information directly in the model's context, MCP servers ...

Differentially private (DP) synthetic data, which closely resembles the original private data while maintaining strong privacy guarantees, has become a key tool for unlocking the value of private data ...