So, in mathematics, a scalar is a single number, such as 5 or 0.5, while a vector is a one-dimensional array of numbers, such as [0.5, 5]. Then a matrix extends ... A 3D tensor could represent ...

Accelerating ML models, whether for training or inference, heavily relies on efficient execution of equivalent matrix multiplications, which are often performed on vector processors or custom matrix ...

The NeuronCore architecture also includes a TensorEngine for accelerating matrix math beyond what can be done ... two instead of four – and then doubled up the number of scalar, vector, and tensor ...

Abstract: Analysis of complex data structures in the form of matrix or tensor format data has gained immense popularity ... Traditional time series models, designed for scalar or vector data, are ...

A new RISC-V Tensor Unit, based on fully customizable 64-bit cores, claims to provide a huge performance boost for artificial intelligence (AI) applications compared to just running software on scalar ...

This enables the Tensor Unit to be used for layers that require matrix multiply capabilities, such as Fully Connected and Convolution, and use the Vector Unit for the activation ... running the AI ...