The algorithm is able to re-discover older matrix multiplication algorithms and improve upon its own to discover newer and faster algorithms. “AlphaTensor is the first AI system for discovering novel, ...

A Hong Kong-based Matrix AI Network is developing a prototype of a new hybrid PoS/PoW consensus algorithm. This update was shared with Cointelegraph by Owen Tao, the company’s CEO. Tao described ...

Matrix inversion using GJ-elimination improves the frequency when compared with QR decomposition algorithm. The design is targeted on XC5VLX50T Xilinx FPGA.

Matrix calculations are used in communications standards such as 3GPP-LTE, WiMAX, and many others. For example, the MIMO (Multi Input Multi Output) algorithm in the LTE receiver is based on a 4×4 ...

With Deep Reinforcement Learning, DeepMind has discovered an algorithm no human thought of. It is supposed to significantly accelerate matrix multiplication.

Matrix inversion is an important operationin many state-of-the-art DSP algorithmsand implementations, includingradar, sonar, and multiple antenna systemsfor communications. A commoncomponent of these ...

William F. Trench, An Algorithm for the Inversion of Finite Toeplitz Matrices, Journal of the Society for Industrial and Applied Mathematics, Vol. 12, No. 3 (Sep., 1964), pp. 515-522 ...