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Showing 1 to 2 of 2 for “"On-Chip learning"”.

  1. Cross-layer methods for energy-efficient inference using in-memory architectures

    … need to acquire and process data to derive actions and interpretations in order to automate/monitor many tasks without human intervention. Such tasks require the implementation of complex machine learning algorithms on these devices. Deep neural networks (DNNs) have evolved into the …

    uiuc Repository record for Cross-layer methods for energy-efficient inference using in-memory architectures (opens in a new tab)

  2. An advanced neuromorphic accelerator on FPGA for next-G spectrum sensing

    In modern communication systems, it’s important to detect and use available radio frequencies effectively. However, current methods face challenges with complexity and noise interference. We’ve developed a new approach using advanced artificial intelligence (AI) based computing techniques to …

    vt Repository record for An advanced neuromorphic accelerator on FPGA for next-G spectrum sensing (opens in a new tab)