GitHub

VLSI Convolution Systolic Accelerator

A high-performance hardware accelerator for 2D convolution operations using an 8×8 systolic array architecture, implemented using the SKY130 open-source PDK. This project implements an NVDLA-style ...
Scientific Research Publishing

Driver Drowsiness Detection Based on Eye Blinking Using Convolutional Neural Network Approach ()

This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...
GitHub

gem5-Aladdin SoC Simulator

Welcome to the gem5-Aladdin SoC simulator! This is a tool for end-to-end simulation of SoC workloads, including workloads with accelerated functions handled by fixed-function hardware blocks. With ...
IEEE

A Throughput-Optimized Channel-Oriented Processing Element Array for Convolutional Neural Networks

Abstract: Over the past decade, significant developments have taken place in the field of deep learning. State-of-the-art convolutional neural networks (CNNs), a branch of deep learning, have been ...
IEEE

Detect and Replace: Efficient Soft Error Protection of FPGA-Based CNN Accelerators

Abstract: Convolutional neural networks (CNNs) are widely used in computer vision and natural language processing. Field-programmable gate arrays (FPGAs) are a popular accelerator for CNNs. However, ...
Europe PMC

SpaNCMG: improving spatial domains identification of spatial transcriptomics using neighborhood-complementary mixed-view graph convolutional network.

The advancement of spatial transcriptomics (ST) technology contributes to a more profound comprehension of the spatial properties of gene expression within tissues. However, due to challenges of high ...
scienceopen.com

Developing a Pain Identification Model Using a Deep Learning Technique

In this study, the authors proposed a pain identification model using facial expressions. An image extraction technique was developed using the liquid neural network to extract diverse images from the ...
Frontiers

Molecular and Computational Strategies to Increase the Efficiency of CRISPR-Based Techniques

The prokaryote-derived Clustered Regularly Interspaced Palindromic Repeats (CRISPR)/Cas mediated gene editing tools have revolutionized our ability to precisely manipulate specific genome sequences in ...
C&EN

Structural Analysis of Molecular Materials Using the Pair Distribution Function

Department of Applied Physics and Applied Mathematics, Columbia University, New York, New York 10027, United States Condensed Matter Physics and Materials Science Department, Brookhaven National ...
acm.org

Simba: Scaling Deep-Learning Inference with Chiplet-Based Architecture

Package-level integration using multi-chip-modules (MCMs) is a promising approach for building large-scale systems. Compared to a large monolithic die, an MCM combines many smaller chiplets into a ...