Matrix multiplication is a fundamental operation in machine learning, and is one of the most time-consuming, due to the extensive use of multiply-add instructions.

The multiplication of two rectangular number arrays, known as matrix multiplication, plays a crucial role in modern AI models, including speech and image recognition, and is used by chatbots from all ...

Lenslet has developed an all-optical engine the size of a Palm Pilot handheld computer that can process a 256 x 256 matrix array multiplication in a single cycle. It is aimed at a range of designs, ...

The work entitled “ A small microring array that performs large complex-valued matrix-vector multiplication ” was published on Apr. 28 2022 in Frontiers of Optoelectronics.

With Deep Reinforcement Learning, DeepMind has discovered an algorithm no human thought of. It is supposed to significantly accelerate matrix multiplication.

Today, DeepMind unveiled AlphaTensor, the “first artificial intelligence system" to shed light on a 50-year-old open question in mathematics.

Distributed computing has markedly advanced the efficiency and reliability of complex numerical tasks, particularly matrix multiplication, which is central to numerous computational applications ...

In particular, the Intel MKL DGEMM function for matrix-matrix multiplication is highly tuned for small matrices. To eliminate overhead, Intel MKL provides a compiler flag to guarantee that the fastest ...

Lenslet has developed an all-optical engine (EETimes 15/10/02) the size of a Palm Pilot handheld computer that can process a 256 x 256 matrix array multiplication in a single cycle. It is aimed at a ...