The "Next-Generation Automotive Computing Market 2026-2036: ADAS, AI In-Cabin Monitoring, Centralization, and Connected Vehicles" report has been added to ResearchAndMarkets.com's offering.

The Automotive Edge Computing Consortium (AECC) today announced that Morgenrot, a leading provider of software solutions that optimize and enhance the efficiency of computing resources in ...

Dublin, Nov. 19, 2025 (GLOBE NEWSWIRE) -- The "Next-Generation Automotive Computing Market 2026-2036: ADAS, AI In-Cabin Monitoring, Centralization, and Connected Vehicles" report has been added to ...

DUBLIN--(BUSINESS WIRE)--The "Strategic Overview of Quantum Computing Applications in the Automotive Industry" report has been added to ResearchAndMarkets.com's offering. This analytics report ...

Automotive cloud computing is gaining traction in several industries including the car manufacturing industry where it is evolving rapidly ever since the introduction of connected vehicles, autonomous ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Nvidia showcased its latest innovations and partnerships for automotive ...

Many of us recall the old Esso oil slogan "Put a tiger in your tank." Then there was the generation of turbocharging cars. The next step for forward-thinking auto manufacturers is to find the best ...

The shift toward software defined vehicles is reshaping automotive computing. Automakers must now unify ADAS, infotainment, ...

WAKEFIELD, Mass.--(BUSINESS WIRE)--The Automotive Edge Computing Consortium (AECC) today announced that a world leader in information and communication solutions, Furukawa Electric, has joined as a ...

Renesas and AVL Software and Functions are collaborating to support developers of automotive ISO 26262-compliant electronic control units (ECUs). Renesas sells automotive R-Car SoCs, RH850 automotive ...

In the automotive industry, there has been a lot of discussion around how to bring the power of in-depth data processing and machine learning to the vehicle edge. In doing so, manufacturers would not ...

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