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Designing the future of EVs: How AI and composite engineering are transforming automotive platforms
In an industry racing toward electrification, few innovations have proven as disruptive, or as quietly revolutionary, as ...
Hands-On Experience: Obtain valuable employment experience in your field by participating in a co-op. Specialized Advanced Electives: Gain a comprehensive understanding of automotive design and ...
Automotive engineering is shifting toward AI-native workflows that integrate design copilots with existing CAD and simulation tools, enabling faster iteration and system-level decision-making. Reports ...
During his time at Northwestern Engineering, Turner Davidson spent countless hours in the workshop inside the Ford Engineering Design Center. Not only was Davidson there to build cars as part of ...
The so-called V-model provides many benefits for organizing the system engineering perspective by depicting the orderly progression, from requirements definition to system-level specification, ...
During the press introduction of the 2025 Lexus LX 700h in Napa Valley, California, Design News had the opportunity to chat with LX chief engineer Takami Yokoo, with the help of his interpreter. This ...
A new report from Research and Markets, “Offshoring of Automotive Design and Engineering Services to India," says that offshoring of automotive design and engineering work will result in double-digit ...
The global chip market has seen a significant increase in demand for high-performance chips due to the rapid growth of the automotive industry. This growth is primarily driven by the adoption of ...
Physics-informed AI platform transforms existing simulation and test data into real-time aerodynamic predictions, enabling instant design decisions and dramatically faster design exploration.
The forces driving the haptics market. Increased use of touchscreens and smart surface in haptics design. What is in-mold electronics? While mobile-phone designers, gamers, and app programmers might ...
The automotive industry is transitioning to software-defined vehicles, using modular architectures, AI-driven validation, and model-based engineering to enhance performance and scalability.
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