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Getting hands-on with AI in automotive
- Canonical will demonstrate an artificial intelligence (AI) and machine learning (ML) demo showcasing how AI can be deployed and updated across various hardware platforms for use in automotive systems at CES 2025.
- The demo will include a real-world use case demonstrating AI-driven fault detection in manufacturing from cloud-based model training to real-time deployment at the edge.
- The AI model is trained on Ubuntu-based cloud environments and deploys updates to any edge device using over-the-air (OTA) updates.
- The aim of the flexible AI/ML stack is to allow companies to choose the best hardware without losing performance.
- The deployment of AI and ML models is a particular challenge for the automotive industry, due to hardware fragmentation, but Canonical's hardware-agnostic AI stack runs seamlessly across various platforms to integrate AI in automotive systems.
- Canonical collaborates with the major player in the semiconductor industry such as NVIDIA and Intel to harness the latest GPU technologies for rapid model training and edge deployment.
- Canonical's AI/ML solution has support for Kubernetes, containerization, and OTA update approach, to deploy software updates to vehicles securely and efficiently.
- The OTA update approach helps to maintain AI models in the field, ensuring manufacturers always have the most accurate version of the model running in their production environment.
- In conclusion, Canonical’s hardware-agnostic AI/ML stack and real-world use cases will illustrate how AI/ML is driving the future of autonomous vehicles.
- Join Canonical at CES 2025 to experience the innovations and the development of the next-generation of intelligent vehicles
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