Indian-born founders of d-Matrix lead the AI inference revolution

The generative AI revolution faces a multi-trillion-dollar challenge: the soaring cost of inference, or running AI models.
IEEE

An Efficient Implementation of Small-Precision Floating-point Matrix Multiplication for AI-Based Image Processing Applications

Abstract: The Multiply and Accumulator (MAC) in Convolution Neural Network (CNN) for image applications demands an efficient matrix multiplier. This study presents an area- and power-efficient ...

A Radical New Computer Could Replace Electricity With Light—and Make Processing Unstoppable

A team of researchers developed “parallel optical matrix-matrix multiplication” (POMMM), which could revolutionize tensor ...