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

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

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 ...

Late projects. Architectures that drift from their original design. Code that mysteriously evolves into something nobody ...

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

Using large language models to build applications that integrate large language models calls for new disciplines and ...

UVA’s Biocomplexity Institute, where experts use computational tools to help solve humanity’s biggest challenges, is part of ...

Artificial intelligence (AI) is automating core parts of software development, forcing engineers to rethink their roles.

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

Coding with large language models (LLMs) holds huge promise, but it also exposes some long-standing flaws in software: code ...

When people think of the way new technologies are developed, they often think of the end product that people see on the shelf ...