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, ...

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.

Is it possible for an AI to be trained just on data generated by another AI? It might sound like a harebrained idea. But it’s one that’s been around for quite some time — and as new, real data is ...

A new framework restructures enterprise workflows into LLM-friendly knowledge representations to improve customer support automation. By introducing intent-based reasoning formats and synthetic ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...