For decades, Strassen’s algorithm ... efficient solution — using fewer scalar multiplications. This could lead to more advanced LLMs, which rely heavily on matrix multiplication to function.

Take the algorithm’s use of prior employment data: People raised in low-income communities do not have the same work opportunities as those brought up in more affluent neighborhoods, said Megan ...

Large language models such as ChaptGPT have proven to be able to produce remarkably intelligent results, but the energy and monetary costs associated with running these massive algorithms ... a ...

Presenting an algorithm that solves linear systems with sparse coefficient matrices asymptotically faster than matrix multiplication for any ω ... Our formal result is the following (we use the form ...

Abstract: General sparse matrix–matrix multiplication (SpGEMM ... prior field-programmable gate array (FPGA)-based SpGEMM accelerators either use the inner product algorithm with wasted and costly ...

The experiments use the RMSProp optimizer, a method to optimize ... algorithms. After experimental verification and parameter comparison, the M-STCP architecture comprises the following elements: ...

The U.S. National Institute of Standards and Technology (NIST) has announced that a family of authenticated encryption and hashing algorithms known as Ascon ... and SHA-256 for general use. Ascon is ...

Except that for a Rubik’s Cube, the number of possible moves at each step is 18; for matrix ... using seven rather than eight multiplication steps, at the cost of introducing more addition steps.