The AI Researcher Giving Her Field Its Bitter Medicine

That article isn't very clear on what she is advocating.

From the article: This led Anandkumar to challenge AI’s reliance on matrix methods. She deduced that to keep an algorithm observant enough to learn amid such chaos, researchers must design it to grasp the algebra of higher dimensions. So she turned to what had long been an underutilized tool in algebra called the tensor. Tensors are like matrices, but they can extend to any dimension, going beyond a matrix’s two dimensions of rows and columns. As a result, tensors are more general tools, making them less susceptible to “overfitting”

She mentions using higher-order tensors, but if I remember my advanced mathematic classes, tensors use matrix operations extensively.

Is she possibly referring to array programming languages?

https://en.wikipedia.org/wiki/Array_programming