Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol ...

IT leaders still face many of the same AI challenges that they did a year ago. Getting past those roadblocks requires the ...

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.

One of the biggest challenges with artificial intelligence today is the quality of data. Many models were trained on the internet, full of falsehoods and lies. This is particularly a problem in ...

In an increasingly interconnected world, the field of social systems and human interaction analysis is pivotal for addressing ...

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