The study shows a critical gap in modern urban informatics. Synthetic data and digital twin models, the authors note, have ...

Data is pretty much everything when it comes to training AI systems, but accessing enough data to produce quality products that live up to their promise is a major challenge, even for companies with ...

Hospitals and health systems traditionally have experienced significant challenges in finding insights from data at scale, because their data universes are so complicated. A standard health system has ...

Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...

In today's rapidly evolving landscape of artificial intelligence (AI), two key concepts have emerged at the forefront of innovation: synthetic data and generative AI. Although these terms are likely ...

Surveys have been used to gain insights on populations, products and public opinion since time immemorial. And while methodologies might have changed through the millennia, one thing has remained ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...