Here is a blueprint for architecting real-time systems that scale without sacrificing speed. A common mistake I see in ...

RISC-V’s expanding role in AI is not a rejection of incumbent architectures, which continue to deliver performance and ...

The startup is making solid-state transformers capable of intelligently aggregating power from a number of different sources ...

Photonics is promising to handle extensive vector multiplications in AI applications. Scientists in China have promoted a programmable and reconfigurable photonic linear vector machine named SUANPAN, ...

DALLAS, Jan. 13, 2026 /PRNewswire/ -- Vector Building Products ("Vector") is excited to announce its launch as a premier specialty building products distribution platform with its initial partnership ...

Viral vector products for cell and gene therapy (CGT), like other biologic products, can have complex development pathways. Development can be organized into a few stages, starting with discovery and ...

The Orion paper mentions that they use double-hoisting for all their BSGS matrix vector products. One hoisting is the repeated rotations of the same vector, which can only be used to compute all the ...

1 Chair of Scientific Computing, Faculty of Mathematics, Technische Universität Chemnitz, Chemnitz, Germany 2 Chair of Applied Functional Analysis, Faculty of Mathematics, Technische Universität ...

Automatic differentiation has transformed the development of machine learning models by eliminating complex, application-dependent gradient derivations. This transformation helps to calculate Jacobian ...

Abstract: Fast Fourier transform (FFT)-based techniques are used in conjunction with iterative solvers to accelerate matrix–vector products in the framework of integral-equation-based methods. Even ...