Advanced AI Hardware Designs Based on FPGAs-Reference-Cited by-同舟云学术

Advanced AI Hardware Designs Based on FPGAs

Published:2021-10-19 Issue:20 Volume:10 Page:2551
ISSN:2079-9292
Container-title:Electronics
language:en
Short-container-title:Electronics

Author:

Kim Joo-Young^ORCID

Abstract

Artificial intelligence (AI) and machine learning (ML) technology enable computers to run cognitive tasks such as recognition, understanding, and reasoning, which are believed to be processes that only humans are capable of, using a massive amount of data [...]

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Link

https://www.mdpi.com/2079-9292/10/20/2551/pdf

Reference12 articles.

1. Resource Partitioning and Application Scheduling with Module Merging on Dynamically and Partially Reconfigurable FPGAs

2. Efficient Memory Organization for DNN Hardware Accelerator Implementation on PSoC

3. Novel CNN-Based AP2D-Net Accelerator: An Area and Power Efficient Solution for Real-Time Applications on Mobile FPGA

4. Accelerating Event Detection with DGCNN and FPGAs

5. An Efficient FPGA-Based Convolutional Neural Network for Classification: Ad-MobileNet

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