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...

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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
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container_title IEEE transactions on parallel and distributed systems
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creator Zhai, Jidong
Si, Min
Pena, Antonio J
description 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.
doi_str_mv 10.1109/TPDS.2022.3166681
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ispartof IEEE transactions on parallel and distributed systems, 2022-01, Vol.33 (11), p.2644
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1558-2183
language eng
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source IEEE Electronic Library (IEL) Journals
subjects Artificial intelligence
Computer networks
Deep learning
Distributed processing
Machine learning
title Guest Editorial
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