Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models.

No matter how sophisticated the AI model, its power depends on the quality, structure and context of the data beneath it.

Recent reports have predicted that publicly available, relevant data necessary for training AI models is expected to run out by 2026. The global AI market is projected to reach $1.8 trillion by ...

Anthropic will start training artificial intelligence models with user data, a day after announcing a hacker used Claude to find companies vulnerable to attack.

AI-trained data analysis models may offer a more rapid and accurate detection of a range of neurologic conditions, including those involving motor function such as Parkinson’s disease and normal ...

Most projects benefit from having a data model. Read this article for an overview of the most common types.

Fractured and incomplete datasets are a key barrier towards effectively training AI models for deployment in healthcare ...