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Electric vehicle (EV) design now requires a system-level approach. Decisions in one subsystem directly influence performance across the entire vehicle. Engineering work is shifting toward managing how these interactions behave under real operating conditions.

If you’ve spent any time configuring VLANs, tuning QoS policies, or troubleshooting Ethernet switching infrastructure, the architectural challenges now facing the automotive industry will feel surprisingly familiar.

Le Consumer Electronics Show (CES) s’est tenu à Las Vegas (Nevada) au début du mois de janvier dernier. Un rendez-vous qui, comme tous les ans, a rassemblé de nombreux acteurs engagés dans la Tech mais aussi la mobilité de demain. Parmi eux, l’éditeur de logiciels automobiles et spécialiste du SDV (software defined vehicle), Sonatus. Alexandre Corjon, vice-président senior et expert technique de l’entreprise, nous dresse un bilan de l’évènement, aussi foisonnant qu’enthousiasmant.

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.

Découvrez comment l'intelligence artificielle transforme l'industrie automobile avec Alexandre Corjon, Senior Vice President IA chez Sonatus. Collecte de données intelligente, software-defined vehicle, et systèmes embarqués : le futur de la voiture connectée expliqué par un ingénieur passé par Airbus et Renault.

Comme dans les autres secteurs, il y a fort à parier que l’IA générative soit d’abord déployée dans le cloud avant d’être installée, de manière ciblée en production, dans les voitures de monsieur et madame tout le monde. Du fait des contraintes techniques et économiques, les acteurs du secteur estiment qu’un mode hybride s’imposera de lui-même.

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.

Alors que la maîtrise de la couche logicielle obtenue par Tesla et BYD faisait rêver les constructeurs automobiles historiques il y a quelques années, ceux-ci n’ont pas su reproduire la même approche. Tandis que la concurrence chinoise déferle, les fabricants européens et américains s’adaptent en s’appuyant davantage sur des partenaires et des modes collaboratifs.

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.

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.