Synthetic data is a vital substitute for real sensitive personal data in supporting social science research and policy ...

Synthetic data is becoming an increasingly attractive tool for companies looking to accelerate their AI development. By simulating realistic scenarios, it can protect privacy, speed up model training ...

The AI-versus-human research debate misses the point. The real question is whether the models behind synthetic audiences are ...

As artificial intelligence models continue to evolve at ever-increasing speed, the demand for training data and the ability to test capabilities grows alongside them. But in a world with equally ...

These people do not exist. These faces were artificially generated using a form of deep learning known as generative adversarial networks (GANs). Synthetic data like this is becoming increasingly ...

Gait assessment is critical for diagnosing and monitoring neurological disorders, yet current clinical standards remain largely subjective and qualitative. Recent advances in AI have enabled more ...

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 ...

Synthetic data is billed as a solution for the limitations of real world data sets. But when we scrutinize what synthetic data can do for today's AI systems, unresolved questions keep popping up. The ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Data is precious – so it’s been asserted; it has become the world’s most ...

Artificial intelligence and machine learning (AI/ML) are driving the development of next-generation radar perception. However, these AI/ML-based perception models require enough data to learn patterns ...