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 ...

The weird, rare, surprising patterns that make data rich slowly get smoothed out when an AI model trains on outputs from a ...

Nvidia has once again solidified its position as the undisputed leader in AI innovation with the release of "Nemotron-4 340B," a groundbreaking family of open models that is set to revolutionize the ...

Artificial intelligence systems that look nothing alike on the surface are starting to behave as if they share a common internal map of the world. Vision models, language models and agents trained in ...

We used Tonic Fabricate to generate a fully synthetic email corpus, then RL fine-tuned an open-source model against it. The ...

A data set collected by the Cancer Registry Library Project from the Yonsei Cancer Center (YCC), Severance Hospital, between January 2008 and October 2020 was reviewed. Patients with colorectal cancer ...

PhD, MBA, CTO at John Snow Labs. Making AI & NLP solve real-world problems in healthcare, life science and related fields. Artificial intelligence (AI) and machine learning applications are widely ...

AI language models, used to generate human-like text to power chatbots and create content, are also revolutionizing biology ...

Real data is not sufficient to train better artificial intelligence models, experts said at South by Southwest. But simulated data must be done right. Jon covers artificial intelligence. He previously ...

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 ...

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 ...