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.

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.

New findings show how the sources of data are concentrating power in the hands of the most powerful tech companies. AI is all about data. Reams and reams of data are needed to train algorithms to do ...

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 data model developed by researchers from Hosei University and collaborating institutions integrates IFC and CityGML standards to unify 3D geometry with inspection and repair information. This ...