When making decisions and judgments, humans can fall into common "traps," known as cognitive biases. A cognitive bias is ...
Abstract: This letter presents an approximate digital compute-in-memory (CIM) macro for low-power edge AI inference. It introduces three hierarchical innovations: 1) novel fused approximate ...
Abstract: Securing computer networks is critical as cyber threats grow more complex. Machine learning (ML) has advanced intrusion detection systems (IDS) by analyzing network data to detect security ...
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