1. Image transformations in Computer Graphics as images are composed of matrix. number of variables. 4. Self-driving car navigation can be made more accurate as matrix multiplication can accurately ...

With AlphaTensor, DeepMind Technologies has presented an AI system that is supposed to independently find novel, efficient and provably correct algorithms for complex mathematical tasks. AlphaTensor ...

Matrix multiplication is a common operation in applications like machine learning and data analytics. To demonstrate the correctness of such an operation in a privacy-preserving manner, we propose ...

Abstract: The rapid expansion of Artificial Intelligence (AI) applications has necessitated the implementation of neural networks for better performance and scalability. Matrix multiplication, the ...

Solving many scientific and technical applications entails the use of matrix multiplies somewhere in the algorithm and thus the computer code. With today’s multicore CPUs, proper use of complier ...

The most widely used matrix-matrix multiplication routine is GEMM (GEneral Matrix Multiplication) from the BLAS (Basic Linear Algebra Subroutines) library. And these days it can be found being used in ...