Real-time analytics for endpoint AI in automotive systems
In this free webinar, Kurt Dekoski of Renesas explains why autonomous driving (AD) and software-defined vehicle (SDV) trends are shaping the use of machine learning (ML) and edge artificial intelligence (AI) for future vehicles.
The expert also examines how Reality AI solutions contribute to these innovations and review Edge AI and TinyML use cases for the automotive industry.
Key topics and takeaways:
- Learn how AI and ML can help enable autonomous driving with innovative Reality AI-embedded solutions
- Gain insight into how seeing with sound (SWS) technology is augmenting ADAS/AD suites with auditory cues
- Understand how AI-enabled solutions from Renesas support condition-based monitoring for preventative and predictive maintenance
- Discover how seamlessly Renesas has integrated a range of MCUs and MPUs with embedded AI-enabled solutions