no code implementations • 2 Oct 2023 • Victor Gao, Issam Hammad, Kamal El-Sankary, Jason Gu
This paper presents a novel method to boost the performance of CNN inference accelerators by utilizing subtractors.
no code implementations • 26 Dec 2019 • Issam Hammad, Kamal El-Sankary, Jason Gu
A comparison of the performance of various machine learning models to predict the direction of a wall following robot is presented in this paper.
no code implementations • 26 Dec 2019 • Issam Hammad, Kamal El-Sankary, Jason Gu
The paper demonstrates that using approximate multipliers for CNN training can significantly enhance the performance in terms of speed, power, and area at the cost of a small negative impact on the achieved accuracy.