Memristor-based AI Hardware for Reliable and Reconfigurable Neuromorphic Computing
In the field of artificial intelligence hardware, a memristor has been proposed as an artificial synapse for creating neuromorphic computer applications. Changes in weight values in the form of conductance must be identifiable and uniform to train a neural network in memristor arrays. Because of the...
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| フォーマット: | 学位論文 |
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Massachusetts Institute of Technology
2022
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| オンライン･アクセス: | https://hdl.handle.net/1721.1/140143 |