no code implementations • 13 Jan 2023 • Patrick Bowen, Guy Regev, Nir Regev, Bruno Pedroni, Edward Hanson, Yiran Chen
This paper presents an analysis of the fundamental limits on energy efficiency in both digital and analog in-memory computing architectures, and compares their performance to single instruction, single data (scalar) machines specifically in the context of machine inference.
no code implementations • 25 Oct 2020 • Nir Regev, Lior Rokach, Asaf Shabtai
We use LSTM network to learn the relationship between queries and their results, and to provide a rapid inference layer for predicting query results.
