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 ...

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.

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, ...

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 ...

Researchers upend AI status quo by eliminating matrix multiplication in LLMs Running AI models without floating point matrix math could mean far less power consumption.

Real PIM systems can provide high levels of parallelism, large aggregate memory bandwidth and low memory access latency, thereby being a good fit to accelerate the widely-used, memory-bound Sparse ...

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 ...