Abstract: In-memory computation of algebraic machine learning, such as computation of selected operations on data directly in RAM memory without need of transferring the data to a processor, enables higher internal bandwidth, more parallelism, and better energy efficiency, e.g., when performing operations related to large scale machine learning.
Type:
Application
Filed:
May 12, 2022
Publication date:
November 17, 2022
Applicant:
Algebraic AI S.L.
Inventors:
Fernando Martin-Maroto, Nabil Abderrahman-Elena, Gonzalo Garcia de Polavieja Embid