New threats, grouped under the name of hardware attacks, became a serious concern in
recent years. In a global market, untrusted parties in the supply chain may jeopardize the …

In this paper, a new approximate multiplier is proposed, which can decrease the
multiplication complexity with the improved area and power performance by using OR and …

This paper proposes a low-power computing unit based on heterogeneous approximate
structure, which is suitable for deployment in binary convolutional neural network (BCNN) …

The rapid development of artificial intelligence (AI) requires substantial computing power
based on massive hardware resources to support it. Thus, it poses a significant challenge for …

In this paper, Convolutional Recurrent Neural Network (CRNN) is deployed in the speech
recognition system for recognition of 5 keywords. We propose an 8-bits quantization scheme …

Approximate computing (AC) has now become a popular solution in deploying Neural
Network (NN) on hardware to reduce the power consumption. In this paper, the Cartesian …