Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.

Google Gemma-2 AI Models While the 2 billion parameter model remains under wraps, the 9 and 27 billion parameter models have been made available to the public, offering researchers and developers ...

A promising architecture proposed this month is test-time training (TTT), which was developed over the course of a year and a half by researchers at Stanford, UC San Diego, UC Berkeley and Meta.

Organizations that are successful in using data have a plan for handling information across the enterprise — an enterprise data architecture, which includes a plan for organizing data, a model ...