Guest Editorial

This special section focuses on the state-of-the-art technologies on parallel and distributed computing techniques for artificial intelligence (AI), machine learning (ML), and deep learning (DL). AI, ML, and DL can enable computers the ability to learn from a large amount of data and use the learned...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on parallel and distributed systems 2022-01, Vol.33 (11), p.2644
Main Authors: Zhai, Jidong, Si, Min, Pena, Antonio J
Format: Article
Language:English
Subjects:
Artificial intelligence
Computer networks
Deep learning
Distributed processing
Machine learning
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This special section focuses on the state-of-the-art technologies on parallel and distributed computing techniques for artificial intelligence (AI), machine learning (ML), and deep learning (DL). AI, ML, and DL can enable computers the ability to learn from a large amount of data and use the learned model to optimize a complex problem or discover rules in a complicated system. AI, ML and DL can be applied to push forward the boundaries for many domains and significantly influence our daily life.
ISSN:1045-9219
1558-2183
DOI:10.1109/TPDS.2022.3166681