FEV collaborates with Microsoft on efficient AI model approach for in car applications built on NVIDIA

More intelligence, robustness and efficiency in the software-defined vehicle

Embedded small language models increase the functional intelligence level of modern vehicles and improve the responsiveness and availability of AI-powered functions. Since inference takes place directly in the vehicle, central functions remain available even when there is a limited or no internet connection. In addition, embedded SLMs enable a reduction in backend and infrastructure costs, as cloud-based LLMs can be supplemented or partially replaced depending on the use case. This helps OEMs economically scale software-defined vehicle functions.

"Our collaboration with Microsoft and NVIDIA showcases how small, efficient language models can transform in-vehicle experiences, delivering powerful functionality without the overhead of larger systems," said Thomas Hülshorst, Group Vice President Intelligent Mobility and Software at FEV.

"By combining advanced AI frameworks with domain- and task-specific optimizations, FEV and Microsoft are shaping the future of intelligent, voice-driven interfaces that meet the high standards of automotive deployment," added Boris Scholl, Vice President of Engineering at Microsoft.

The full press release is available here: https://fev.group/689292^[1]

- Picture is available at AP -

Hashtag: #FEV

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References

1. ^{^} https://fev.group/689292 (fev.group)