What is data modeling, and why does it break down? Fundamentally, data modeling involves arranging data in a structured way to improve accessibility and use for a range of applications and analyses.

Tencent initially ran the database on hosts packed with fast SSDs to handle the needs of different data models, such as I/O-intensive key-value and time-series models.

Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...

Microsoft Research has had 7,000 downloads of its Comega programming technology, which is intended to bridge the gap between relational, object, and XML data models. Comega, or Cω, is described ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

For AI to truly improve and standardize healthcare delivery, we must confront a fundamental issue—the limited and often siloed nature of clinical data.

The platform provides a framework for security and compliance and enables developers to test different large language models ...

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 ...