One of those cross discipline, same terminology deals? Intelligence in the ai vernacular is like a black box version of software but much more powerful. We understand why it works but the actual state, in old money the program logic, is something that just happens. It learns. It learns to perform intelligent operations on input data. It does stuff that would take millions of coders millions of years to hand code. If it could even be hand coded at all.
Considering the impact the olde fashioned, hand coded shit just had on the planet, I'm fast approaching certainty that no one aint seen nothing yet.
Enjoying all the links here. What I got is before, in ancient procedural procedural terms, you might build some object detection code as a composite of various hand-picked relevant feature detectors; now, you "train" a model to learn, for itself, which detector-like-filters work to best fit input data to output. During training, some models learn by back-propagation, so the algorithm does a backward pass, starting from a list that already specifies the correct answer or output (y) it changes the weights of filters (W) to match the given input (X). I think, though it still beats me.