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Engineering >> 2020, Volume 6, Issue 8 doi: 10.1016/j.eng.2020.06.010

Neuromorphic Computing Advances Deep-Learning Applications

Senior Technology Writer

Available online: 2020-06-27

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References

[ 1 ] Imam N, Cleland T. Rapid online learning and robust recall in a neuromorphic olfactory circuit. Nat Mach Intell 2020;2:181–91. link1

[ 2 ] Mennel L, Symonowicz J, Wachter S, Polyushkin DK, Molina-Mendoza AJ, Mueller T. Real-time image processing with a 2D semiconductor neural network vision sensor. 2019. arXiv: 1909.00205.

[ 3 ] Mennel L, Symonowicz J, Wachter S, Polyushkin DK, Molina-Mendoza AJ, Mueller T. Ultrafast machine vision with 2D material neural network image sensors. Nature 2020;579(7797):62–5. link1

[ 4 ] Beyond today’s AI—new algorithmic approaches emulate the human brain’s interactions with the world [Internet]. Santa Clara: Intel Corporation; [cited 2020 May 15]. Available from: https://www.intel.com/content/www/us/en/ research/neuromorphic-computing.html.

[ 5 ] Vergara A, Fonollosa J, Mahiques J, Trincavelli M, Rulkov N, Huerta R. On the performance of gas sensor arrays in open sampling systems using Inhibitory Support Vector Machines. Sensors Actuators B 2013;185: 462–77. link1

[ 6 ] Borthakur A, Cleland T. Signal conditioning for learning in the wild. 2019. arXiv: 1907.05827.

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