Aerospace testing methods reveal hidden risks in complex systems, ensuring reliability in AI-driven designs under real-world ...

Cadence’s dual announcements with NVIDIA and Google mark pragmatic steps in the industry’s transition toward intelligent, ...

Equipment failures emerge from complex system interactions in real-world conditions that simulation cannot fully predict or ...

Hvakr provides further evidence that discipline-specific AI is landing in engineering software faster than it is in ...

The next important milestone for AI research is to automate model development. Every advance in reasoning, language, and perception is, in some sense, a step toward that goal. However, the path to ...

Aerodynamics is a necessary but time-consuming part of car design. For General Motors and Jaguar Land Rover, AI is stepping ...

We talk to Ryan Cormack of used car marketplace Motorway about how AI-driven development increases the speed and productivity ...

Fine-tuning TCAD parameters with real-world feedback from test wafers is essential for quantitatively accurate and predictive results.

The automotive industry is transitioning to software-defined vehicles, using modular architectures, AI-driven validation, and ...

Eduard Viladesau, Managing Director, HIPRA Biotech Services, highlights how the company brings engineered flexibility to the ...

Learn how AI design copilots are redefining engineering speed, creativity, and system-level innovation.