GLSVLSI

Reliable and low-power stress-detector ‘at the edge’ is extremely beneficial for continuously monitoring hospitalized patients. In this context, feed-forward spiking neural networks (SNNs) for stress-detection using physiological time-series signals of ...

CNN is indispensable for today’s Artificial Intelligence (AI) applications, but brings dominantly large overhead of data communication. Current works mainly focus on prior off-chip or intuitive/heuristic on-chip access optimization, but with the ...

Efficient on-device inference of convolutional neural networks (CNNs) is becoming one of the key challenges for embedded systems, leading to the integration of specialized hardware accelerators in System-on-Chips (SoCs). Due to the memory-bound nature of ...