Welcome to the InfoSci Platform
Reference Hub1
Deep Learning and Intelligent Robots in Government

Deep Learning and Intelligent Robots in Government

Hajer Brahmi, Boudour Ammar
Copyright: © 2023 |Pages: 34
ISBN13: 9781668456248|ISBN10: 1668456249|EISBN13: 9781668456255
DOI: 10.4018/978-1-6684-5624-8.ch001
Cite Chapter Cite Chapter

MLA

Brahmi, Hajer, and Boudour Ammar. "Deep Learning and Intelligent Robots in Government." Handbook of Research on Applied Artificial Intelligence and Robotics for Government Processes, edited by David Valle-Cruz, et al., IGI Global, 2023, pp. 1-34. https://doi.org/10.4018/978-1-6684-5624-8.ch001

APA

Brahmi, H. & Ammar, B. (2023). Deep Learning and Intelligent Robots in Government. In D. Valle-Cruz, N. Plata-Cesar, & J. González-Ruíz (Eds.), Handbook of Research on Applied Artificial Intelligence and Robotics for Government Processes (pp. 1-34). IGI Global. https://doi.org/10.4018/978-1-6684-5624-8.ch001

Chicago

Brahmi, Hajer, and Boudour Ammar. "Deep Learning and Intelligent Robots in Government." In Handbook of Research on Applied Artificial Intelligence and Robotics for Government Processes, edited by David Valle-Cruz, Nely Plata-Cesar, and Jacobo Leonardo González-Ruíz, 1-34. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-5624-8.ch001

Export Reference

Mendeley
Favorite

Abstract

Deep learning algorithms have witnessed considerable advances in different sectors. Consequently, these techniques have been commonly deployed for government, mainly to support robotic and autonomous systems. They make intelligent robots, which can replace humans in danger zones or production processes and look and react like humans. The purpose of this chapter is to review the deep learning concept and particularly its applications in governments' working systems. In addition, the authors introduce the robotic field with its importance for governments. Finally, they illustrate this work by two simulated examples of robotic motions based on deep learning algorithms.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.