Summary
This report contains a Spotlight article from Springer's automotive technical magazine "ATZ" www.atz-magazine.com. and "MTZ" www.mtz-magazine.com. Springer is a German company affiliated with MarkLines.
About Springer Fachmedien Wiesbaden GmbH
Established in 2010 as a subsidiary of Springer Nature Company, Springer Fachmedien Wiesbaden GmbH is one of the world's leading scientific and technical publishers. It mainly publishes technical journals and books for engineers and social scientists, in addition to holding various technical events.
About Automotive Technology Magazine ATZ
Motorwagen-Zeitschrift (Motored Vehicles Magazine) was founded in 1898 as an automotive technical magazine. From 1929, the name of the magazine was changed to "ATZ (=Automobiltechnische Zeitschrift: Automotive engineering magazine)". In addition to being published in German, the English edition has been available since 2001.
Generative AI in
Automotive Development
Artificial Intelligence (AI) has developed to become a very effective tool in many sectors. A relatively young form is generative AI, which represents a new stage of development. It is suitable not only for fast data processing and for optimizing processes and components, it is expected to be able to perform creative tasks as well. Its application has also already proven itself in automotive development and it is now expanding into new areas.
Material from: Thomas Schneider, Editor of ATZ | MTZ | ATZelectronics, Generative AI in Automotive Development, IN THE SPOTLIGHT article from ATZ worldwide [12/2024] [the websites of Springer Fachmedien Wiesbaden GmbH, which are available at www.springerfachmedien-wiesbaden.de] reproduced with permission of Springer Fachmedien Wiesbaden GmbH.
Local Reconstruction Note
This article has been expanded from the visible local mirror text, headings, tags, image captions, tables, and related local article titles. It is presented as a reconstructed reading version, not as a hidden original document.
Introduction
The source outline identifies this section as part of “Generative AI in Automotive Development”. Based on the available local metadata, this section should be read through the lens of AI, Software, Digitalization, Connected Car, Springer, Vehicles & OEMs and the visible introduction, figures, captions, and tables.
THE USE OF GENERATIVE AI IN AUTOMOTIVE DEVELOPMENT
The source outline identifies this section as part of “Generative AI in Automotive Development”. Based on the available local metadata, this section should be read through the lens of AI, Software, Digitalization, Connected Car, Springer, Vehicles & OEMs and the visible introduction, figures, captions, and tables.
BATTERY OPTIMIZATION USING AI
The source outline identifies this section as part of “Generative AI in Automotive Development”. Based on the available local metadata, this section should be read through the lens of AI, Software, Digitalization, Connected Car, Springer, Vehicles & OEMs and the visible introduction, figures, captions, and tables.
RISKS FROM AI
The source outline identifies this section as part of “Generative AI in Automotive Development”. Based on the available local metadata, this section should be read through the lens of AI, Software, Digitalization, Connected Car, Springer, Vehicles & OEMs and the visible introduction, figures, captions, and tables.
Related Local Signals
Nearby records in the local archive include Taipei AMPA 2026: Foxconn’s EV Technology; Smart Energy Week 2026: Batteries and Charging; Electrified Vehicle (xEV) Sales Monthly Report (March 2026); Geely i-HEV Intelligent Hybrid Technology Presentation. These titles can be used as adjacent evidence when comparing suppliers, technologies, markets, and reporting periods.