The Integration of AI and Machine Learning in Instrument Clusters:Making Vehicles Smarter

Authors

  • Darshak Sanghavi USA Author

DOI:

https://doi.org/10.47363/77b5qm52

Keywords:

AI-Driven Predictive Analytics, Machine Learning, Adaptive Interfaces, Real-Time Decision-Making

Abstract

The automotive industry is undergoing a transformative shift as artificial intelligence (AI) and machine learning (ML) technologies are increasingly being integrated into vehicle instrument clusters. These integrations enable vehicles to become smarter, providing a more intuitive, personalized, and efficient driving experience. AI-powered systems within instrument clusters can leverage predictive maintenance algorithms, adapt to driver behavior, and enhance real-time hazard detection, significantly improving vehicle safety and operational efficiency. This paper explores the role of AI and ML in revolutionizing instrument clusters, detailing their potential applications in predictive analytics, adaptive interfaces, and automated system adjustments, and discusses how these advancements are reshaping the future of automotive technology

Author Biography

  • Darshak Sanghavi , USA

    Darshak Sanghavi, USA

Downloads

Published

2023-12-21

How to Cite

The Integration of AI and Machine Learning in Instrument Clusters:Making Vehicles Smarter. (2023). Journal of Artificial Intelligence & Cloud Computing, 2(4), 1-4. https://doi.org/10.47363/77b5qm52

Similar Articles

1-10 of 273

You may also start an advanced similarity search for this article.