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Der Wettlauf um Edge-KI im Fahrzeug hat begonnen. Lokal eingesetzte KI-Systeme werden zunehmend intelligenter, schneller sowie stärker integriert und beschleunigen so das Innovationstempo bei Software-definierten Fahrzeugen (SDV) erheblich.

KI wird im Automobilbereich aktuell mit selbstfahrenden Funktionen oder digitalen Assistenten in Verbindung gebracht. Dabei wird oft außer Acht gelassen, dass sie gerade auch in den Kernbereichen Fahrzeugwartung und -service erhebliches Potenzial bietet.

Ireland leads the countries covered in new research from Indeed Hiring Lab on workplace AI use. The survey covers more than 80,000 workers across countries, including Ireland, and shows that 70% of Irish workers use AI as part of their job.

Electric vehicle (EV) development is increasingly defined by software complexity, data volume, and shorter validation timelines. As a result, artificial intelligence (AI) is being introduced across development and testing workflows to accelerate engineering cycles, improve diagnostic depth, and reduce reliance on late-stage physical validation.

CES 2026 marked a decisive inflection point for the global automotive industry. The narrative moved beyond “software-defined vehicles” (SDVs) toward AI-defined vehicles, where competitive advantage is determined by the ability to deploy, validate, monitor, update, and monetize AI safely at scale across the full vehicle lifecycle. The show evolved from Generative AI in earlier years to Physical AI, with NVIDIA’s announcement of Alpamayo 1 stealing the spotlight.

Die Plattform von Sonatus verwaltet KI-Modelle direkt im Fahrzeug und ermöglicht neue Geschäftsmodelle wie prädiktive Wartung und Features-on-Demand.

Künstliche Intelligenz wird in Test- und Entwicklungsumgebungen des japanischen Automobilhersteller Nissan immer wichtiger. So nutzt das Unternehmen KI-Tools von Monolith und Cloud-Ressourcen von AWS im Zusammenspiel mit Fahrzeugdaten, um physikalische Phänomene zu modellieren und dadurch die Zahl von “echten” Tests zu reduzieren.

Michelin demonstrated predictive tyre health technology using a 1970 Ford Bronco retrofitted with Sonatus technology. Michelin and Sonatus will showcase predictive tyre health technology at CES 2026. The demonstration will highlight Michelin’s SmartLoad and SmartWear models deployed through Sonatus AI Director to deliver real-time, in-vehicle tyre insights.

Michelin and Sonatus will showcase predictive tire health technology at CES 2026. The demonstration will highlight Michelin’s SmartLoad and SmartWear models deployed through Sonatus AI Director to deliver real-time, in-vehicle tire insights.

Later this week, one of the coolest things about living in the Motor City area takes place: it’s the Detroit Auto Show, a celebration of the industry that helped put the city on the map in the 20th century. While Detroit has gone through its ups and downs since the French established it way back in 1701, it is the car that has made Detroit famous.

Software-defined vehicles are quickly becoming intelligent, self-improving systems powered by artificial intelligence (AI). As their capabilities expand, the central challenge is no longer building bigger models but managing the enormous volumes of data those models depend on.

Sonatus and Michelin will jointly demonstrate predictive tire health and maintenance at CES 2026, showcasing how Michelin’s SmartLoad and SmartWear models run in-vehicle via Sonatus AI Director to deliver real-time tire performance insights based on actual driving dynamics rather than pressure or mileage alone. The collaboration highlights how software-based “virtual tires” can improve safety, extend tire life, reduce fleet operating costs, and lower BOM by replacing physical sensors, while enabling scalable, secure edge AI deployment across OEM platforms.