Development of Artificial Intelligence in the Automotive Field

Diana Gheorghe ()

Informatica Economica, 2022, vol. 26, issue 2, 29-36

Abstract: Artificial Intelligence has had its own development throughout the course of the years, evolving from early minimalistic algorithms to deep learning methods and neural networks. It has, however, faced critique, low points and had failed to be recognized as an industry worth investing in. Looking at what it has become today, the Artificial Intelligence scientific domain has met a rather unique field, the Automotive Industry. Cars have, themselves, progressed from serving basic purposes to providing comfort and serving as more than a mean of transportation to the driver and the passengers. The Auto industry is blooming as companies find new intelligent software features to be added to the infotainment systems. The Artificial Intelligence field has become an inseparable asset of the Automotive industry, the two developing together and merging into a promising future.

Keywords: Artificial Intelligence; Automotive Industry; Driver Profiling (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://revistaie.ase.ro/content/102/03%20-%20gheorghe.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aes:infoec:v:26:y:2022:i:2:p:29-36

Access Statistics for this article

Informatica Economica is currently edited by Ion Ivan

More articles in Informatica Economica from Academy of Economic Studies - Bucharest, Romania Contact information at EDIRC.
Bibliographic data for series maintained by Paul Pocatilu ().