Design of Network-on-Chip-Based Restricted Coulomb Energy Neural Network Accelerator on FPGA Device
Soongyu Kang,
Seongjoo Lee,
Yunho Jung
Abstract:Sensor applications in internet of things (IoT) systems, coupled with artificial intelligence (AI) technology, are becoming an increasingly significant part of modern life. For low-latency AI computation in IoT systems, there is a growing preference for edge-based computing over cloud-based alternatives. The restricted coulomb energy neural network (RCE-NN) is a machine learning algorithm well-suited for implementation on edge devices due to its simple learning and recognition scheme. In addition, because the … Show more
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