Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated ...

Moog uses advanced modeling and simulation tools—such as Simulink, MATLAB and its proprietary MAST library—to design and ...

Implementing agentic software engineering requires more than connecting an AI model to your repositories—it starts by ...

Agentic AI systems need a deep understanding of where they are, what they know, and the constraints that apply. Context ...

AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems ...

Deductive AI raises $7.5 million to automate software debugging with machine learning, helping engineers fix production ...

SANTA CLARA, CA - November 07, 2025 - - As leading technology companies increasingly evaluate candidates based on their ...

At Simulation World Detroit, executives shared their views on the early integration of AI, data, models, and simulations to ...

The future of process automation and control combines the reliability of traditional DCS with the agility of cloud/IT ...

Agentic AI is changing how software teams pick projects by pushing us to build systems that are clearer, safer and ready for ...

AI-enhanced geospatial analysis and remote sensing can support engineers in several sectors by improving decision making and ...

The aim is not to create machines that will replace humans, but rather to develop systems that enable humans to make smarter, ...