The transistor-free compute-in-memory architecture permits three computational tasks essential for AI applications: search, storage, and neural network operations. Credit: Nano Letters (2022). DOI: 10.1021/acs.nanolett.2c03169 Artificial intelligence presents a major challenge to conventional computing architecture. In standard models, memory storage and computing take place in different parts of the machine, ...
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