Generative AI for the Maritime Environments

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Generative AI is a new and rapidly developing field of artificial intelligence that focuses on creating new data or content. Although the concept of generating content was invented long back, the latest breakthroughs in neural network architectures have made it possible to implement this concept at a much faster pace. With the availability of vast amounts of data and computational power, it has become increasingly feasible. Generative models aim to generate new data resembling the training data distribution by learning its underlying patterns. They capture the inherent complexity of the data to produce outputs similar to the training examples. Discriminative models, on the other hand, focus on learning boundaries between different classes or categories within the data. The maritime industry is a major contributor to the global economy, but it is also a high-risk industry, as it is exposed to a variety of hazards. Generative AI can be used to improve maritime safety and efficiency in several ways. Although the maritime industry is still in the early stages of adopting generative AI, the potential benefits are significant. The integration of generative AI into maritime operations plays an increasingly important role in the maritime industry. In this view, this paper discusses generative AI, its technology, various applications, and key challenges and research prospectives.

Original languageEnglish
Title of host publicationICUFN 2024 - 15th International Conference on Ubiquitous and Future Networks
PublisherIEEE Computer Society
Pages618-623
Number of pages6
ISBN (Electronic)9798350385298
DOIs
Publication statusPublished - 2024
Event15th International Conference on Ubiquitous and Future Networks, ICUFN 2024 - Hybrid, Hungary, Hungary
Duration: 02-07-202405-07-2024

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536

Conference

Conference15th International Conference on Ubiquitous and Future Networks, ICUFN 2024
Country/TerritoryHungary
CityHybrid, Hungary
Period02-07-2405-07-24

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

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