We develop a flat, analytic, and nonlinear placement algorithm, ePlace, which is more
effective, generalized, simpler, and faster than previous works. Based on the analogy …

We propose an electrostatics-based placement algorithm for large-scale mixed-size circuits
(ePlace-MS). ePlace-MS is generalized, flat, analytic and nonlinear. The density modeling …

A new design methodology to reduce power consumption and minimization of area in FSM
based system is fore fronted into FPGA using Finite State Machines (FSMs) mapping in this …

We propose a flat, analytic, mixed-size placement algorithm ePlace-3D for three-dimension
integrated circuits (3D-ICs) using nonlinear optimization. Our contributions are (1) …

In this paper, we implemented a high accuracy, high throughput, low bit-width, and low
power consumption convolutional neural network (CNN) inference system for handwritten …

Adversarial neural cryptography is deemed as an encouraging area of research that could
provide different perspective in the post-quantum cryptography age, specially for secure …

The processing-in-memory architecture based on memristors has been widely studied for
hardware implementation in neural networks, serving as a solution to address the von …

In recent years, stock price trend prediction has been a hot topic in the field of AI for finance.
Meanwhile, with the constant fluctuations in financial markets, investors increasingly require …

We presented a novel hardware architecture that uses dual Benes networks to accelerate
Convolutional Neural Network (CNN) algorithms. This architecture can reduce the need for …

A RISC-V SoC (system on chip) based on visible light communication (VLC) for mobile
payment application is presented. The proposed SoC can be applied to Point-of-Sale (POS) …