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 ...
Israeli startup Lenslet Labs has gone back to the fundamentals of mathematics to develop a processing engine that can handle matrix calculations natively without having to break them down into many ...
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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 ...
Nearly all big science, machine learning, neural network, and machine vision applications employ algorithms that involve large matrix-matrix multiplication. But multiplying large matrices pushes the ...
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, ...
Israeli start-up Lenslet Labs has gone back to the fundamentals of mathematics to develop a processing engine that can handle matrix calculations natively without having to break them down into many ...