Timothy M. Philip, Kevin W. Brew, et al.
MRS Bulletin
Computing systems inspired by the architecture of the human brain is poised to revolutionize the engines for information processing and data analytics. However, the efficiency and performance of these platforms pale in comparison with the human brain, especially when benchmarked in terms of metrics such as intelligence per Watt per square mm. In this paper, we review some recent progress and future prospects of building artificial intelligence systems that target the efficiency of the brain, leveraging the unique properties of nanoscale memristive device technologies.
Timothy M. Philip, Kevin W. Brew, et al.
MRS Bulletin
Bipin Rajendran, Abu Sebastian, et al.
IEEE SPM
Nikolaos Papandreou, Angeliki Pantazi, et al.
ICECS 2010
Matthias Kaes, Manuel Le Gallo, et al.
Journal of Applied Physics