Abstract
Highlights Reservoir computing (RC), with its smaller network size and straightforward training process, has become a popular machine learning algorithm in the current landscape. Nano-memristors, characterized by their high integration density and the ability to achieve storage and computation in a unified manner, are regarded as promising devices to accelerate machine learning. The aim of current study is to present the current applications of in-memory and in-sensor RC based on nano-memristors and to outline the potential developments for the next steps.
Original language | English |
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Article number | 012002 |
Journal | International Journal of Extreme Manufacturing |
Volume | 7 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Feb 2025 |
Keywords
- compute-in-memory
- in-sensor computing
- memristive device fabrication
- reservoir computing