A novel memristor enables low-voltage multilevel switching for neuromorphic computing, suggesting efficiency for AI applications.
The rapid growth of artificial intelligence (AI) and edge computing has intensified an urgent demand for energy-efficient hardware capable of mimicking the parallel processing and adaptive learning functions of the human brain.
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Zulfiqar et al. (2026) studied this question.
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