It's not just about making AI smarter, but also about making sure people can trust it and understand how it works.

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.

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, ...

Why engineers are turning to system-level models. How high-fidelity digital twins help expose system-level issues. Where MBSE is experiencing the fastest adoption. The roles of AI and data science in ...

AI has arrived in the enterprise, and the shift is happening all at once. Every function, every role, every workflow is being reshaped. At the same time, a new class of organizations is emerging, one ...