The next frontier in automotive AI is about equipping vehicles to learn, adapt and evolve through orchestrated data that ...

New research from the Data Provenance Initiative has found a dramatic drop in content made available to the collections used to build artificial intelligence. By Kevin Roose Reporting from San ...

As AI moves from hype to measurable results, one truth is becoming clear: Enterprise AI needs business context to be fully ...

The datasets required to train A.I. models are starting to dry up. Photo by Silas Stein/picture alliance via Getty Images As the A.I. models developed by tech companies become larger, faster and more ...

As artificial intelligence developers run out of data to train their models, they are turning to “synthetic data” — data made by the A.I. itself. By Cade Metz and Stuart A. Thompson Cade Metz reports ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Once, the world’s richest men competed over yachts, jets and private islands. Now, the size-measuring contest of choice is clusters. Just 18 months ago, OpenAI trained GPT-4, its then state-of-the-art ...

As organisations rush to deploy AI, many overlook a critical vulnerability: the data that trains and shapes these systems.

A slower "reasoning" model might do more of the work for you -- and keep vibe coding from becoming a chore.

Navigating the world of data analytics can often feel like solving a complex puzzle. If you’ve already dipped your toes into Power BI and are eager to dive deeper, you’re in the right place. This ...