As hospitals move from AI experimentation to enterprise deployment, many are discovering that fragmented, poorly governed ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

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.

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — ...

Identify which data modeling tools are right for your business. Discover the top tools of 2022 now. Data modeling tools play an important role in business, representing how data flows through an ...

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...

Karp questioned the commercial model used by major frontier AI developers, arguing that many businesses are paying ...

As PV projects move into more complex terrain, hybrid configurations and grid-supporting roles, Solargis sees higher-resolution meteorological data, physical modelling and quality-controlled AI as ...