Without tensors it would not be possible for neural networks to function. Tensors represent multi-dimensional data points, for example as one-dimensional, two-dimensional, three-dimensional or more.

While retrieval augmented generations (RAGs) and agents grab attention, what’s next is really a search across your data.

Tensors provide a roadmap of AI neural network data. ... Tensors represent multi-dimensional data points, ... intricate high resolution scenery in a racing game), ...

A tensor is a form of matrix, or multi-dimensional number, a key plank of AI processing that assigns and uses high-dimensional numbers to objects to process them.

NVIDIA has this week announced the availability of its cuTENSOR v1.4, which now supports up to 64-dimensional tensors, distributed multi-GPU tensor operations, and helps improve tensor contraction ...

Statisticians from the National University of Singapore (NUS) have introduced a new technique that accurately describes high-dimensional data using lower-dimensional smooth structures. This ...