The Explosion of Artificial Intelligence in Antennas and Propagation: How Deep Learning Is Advancing Our State of the Art

Sawyer D. Campbell, Ronald P. Jenkins, Philip J. O'Connor, Douglas Werner

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The rise and proliferation of artificial intelligence (AI) has the potential to influence and disrupt many aspects of society, including antennas and propagation. This article provides information about he current state of the art (SOA) on applications of deep learning (DL) in problems of interest to the IEEE Antennas and Propagation Society (AP-S) community. A number of resources are provided to assist researchers to start using DL in their own research. Researchers also provide an outlook on DL’s potential impact on the AP-S as well as how exciting new hardware advancements may lead to significant improvements in the way we currently perform computational electromagnetic (CEM) simulations.

Original languageEnglish (US)
Article number9211490
Pages (from-to)16-27
Number of pages12
JournalIEEE Antennas and Propagation Magazine
Volume63
Issue number3
DOIs
StatePublished - Jun 2021

All Science Journal Classification (ASJC) codes

  • Condensed Matter Physics
  • Electrical and Electronic Engineering

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