Abstract: The asymmetric conductance modulation of resistance random access memory (RRAM) is one of the crucial obstacles of the application as artificial synapses for online training. In this work, ...

A prolonged shortage of memory and storage components—driven largely by the rapid expansion of artificial intelligence infrastructure—is expected to weigh heavily on the global personal computer ...

The global semiconductor memory market is expected to surpass US$600 billion by 2026, as artificial intelligence accelerates a shift toward high-performance storage, according to industry executives.

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Abstract: Computing-in-memory (CIM) architecture is a promising approach to breaking the bottleneck in von Neumann’ architecture. To shed light on large matrix operations in flash-based CIM with ...