For the mathematician, a tensor is a very complicated formula evolving vectors, matrices and scalars. But for experts in physics and engineering a tensor is something that transforms like a tensor.

These comparisons may involve the use of vector or tensor images (i.e., 3-D images for which each voxel can be represented as an R N vector) such as diffusion tensor images (DTI) or transformations.

By integrating scalar, vector, and matrix engines, XM Series customers can take advantage of very efficient memory bandwidth. The XM Series also continues SiFive’s legacy of offering extremely ...

ABSTRACT: We study the distribution of quasars on the celestial sphere according to ground-based SDSS and space-based WISE and Gaia observations. All distributions as a function of galactic latitude, ...

Two months ago, Amazon didn’t make a single mention of AI on its earnings call (Google and Microsoft mentioned AI dozens of times each). This past week, by contrast, the company’s cloud ...

Under the original plan for the K machine, Fujitsu was designing the scalar processor, NEC was designing the vector processor, and Hitachi was designing the torus interconnect we now know as Tofu. The ...

M. T. Burkey et al, Improved Limit on Tensor Currents in the Weak Interaction from Li8 β Decay, Physical Review Letters (2022). DOI: 10.1103/PhysRevLett.128.202502 Journal information: Physical ...

Abstract: In principle, both scalar and tensor holographic artificial impedance surfaces (HAISs) can generate circularly-polarized waves. It is found, however, the previously-reported works on ...

The forces and deformations internal to the Jell-O mold itself cannot be described by either a scalar or a vector field, but require something more complex: a tensor field. (JONATHAN NACKSTRAND ...

The item() method extracts the single value from the associated tensor and returns it as a regular scalar value. Somewhat unfortunately (in my opinion), PyTorch 1.6 allows you to skip the call to item ...