This project implements a simple Rank-One Constraint System (R1CS) verification in Rust using matrix representations. The program randomly generates values, computes a constraint equation, and ...

Engheta and colleagues have now set their sights on vector–matrix multiplication, which is a vital operation for the artificial neural networks used in some artificial intelligence systems. The team ...

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 ...

DeepMind breaks 50-year math record using AI; new record falls a week later AlphaTensor discovers better algorithms for matrix math, inspiring another improvement from afar.

In this work, one novel dual-gate 2T0C is proposed for multi-bit input vector-matrix multiplication (VMM) in in-memory computing (IMC). Unlike the existing pulse-width modulation (PWM) method for ...