IEEE

Constrained Cramér-Rao Bound for Higher-Order Singular Value Decomposition

Abstract: Tensor decomposition methods for signal processing applications are an active area of research. Real data are often low-rank, noisy, and come in a higher-order format. As such, low-rank ...

Nvidia leans on emulation to squeeze more HPC oomph from AI chips in race against AMD

AMD researchers argue that, while algorithms like the Ozaki scheme merit investigation, they're still not ready for prime ...
Le Lézard

MicroCloud Hologram Inc. Utilizes FPGA to Accelerate Tensor Network Computing to Achieve Quantum Spin Models

MicroCloud Hologram Inc. , ("HOLO" or the "Company"), a technology service provider, proposed an innovative hardware ...

Tensor Unveils OpenTau ( ) at CES 2026, Introducing a Breakthrough Open-Source Training Platform for Physical AI

LAS VEGAS, Jan. 8, 2026 /PRNewswire/ -- At CES 2026, Tensor today announced the official open-source release of OpenTau ( ), a powerful AI training toolchain designed to accelerate the development of ...
IEEE

Special arrowhead least squares solution of the quaternion generalized Sylvester matrix equation

Abstract: In this paper, we study special arrowhead solution of the quaternion generalized Sylvester matrix equation by using semi-tensor product of matrices. We first propose a real vector ...