Optical computing uses photons instead of electrons to perform computations, which can significantly increase the speed and energy efficiency of computations by overcoming the inherent limitations of ...

A simulation-based design in Scientific Reports presents an ultra-compact non-volatile photonic matrix-vector multiplication engine using mode division multiplexing and programmable GSST phase-change ...

Matilda is a free C++ library for fast, parallelized matrix-vector multiplications (MVM) developed for the Daniel K. Inouye Solar Telescope MCAO RTC. It is optimized for low latency when repeating the ...

Researchers at MIT's Computer Science & Artificial Intelligence Lab (CSAIL) have open-sourced Multiply-ADDitioN-lESS (MADDNESS), an algorithm that speeds up machine learning using approximate matrix ...

Computer scientists have discovered a new way to multiply large matrices faster than ever before by eliminating a previously unknown inefficiency, reports Quanta Magazine. This could eventually ...