brains-py, A framework to support research on energy-efficient unconventional hardware for machine learning

Author:

Alegre-Ibarra UnaiORCID,Euler Hans-Christian Ruiz,A.Mollah Humaid,Petrov Bozhidar P.,Sastry Srikumar S.,Boon Marcus N.,de Jong Michel P.,Zolfagharinejad Mohamadreza,Uitzetter Florentina M. J.,van de Ven Bram,de Almeida António J. Sousa,Kinge Sachin,van der Wiel Wilfred G.

Publisher

The Open Journal

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference10 articles.

1. The rise of intelligent matter;Kaspar;Nature,2021

2. Classification with a disordered dopant-atom network in silicon;Chen;Nature,2020

3. Dopant network processing units: Towards efficient neural network emulators with high-capacity nanoelectronic nodes;Ruiz-Euler;Neuromorphic Computing and Engineering,2021

4. Genetic algorithms;Sivanandam;Introduction to genetic algorithms,2008

5. A deep-learning approach to realizing functionality in nanoelectronic devices;Ruiz Euler;Nature nanotechnology,2020

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