The Rise of Hybrid AI in Engineering
Across engineering sectors, conversations about AI are shifting. Instead of debating whether AI is being over‑sold or under‑used, the discussion in engineering circles has moved toward something more concrete: how AI can be integrated into existing technical workflows in a way that aligns with engineering rigour, safety standards and domain knowledge. This shift has brought increasing attention to what many research groups, engineering bodies and industry case studies refer to as Hybrid AI. Hybrid AI blends machine‑learning models with symbolic or rule‑based systems, which includes engineering constraints, logic rules, knowledge graphs and physical models. The goal is not to replace engineering reasoning, but to create AI systems that operate in a structured, verifiable way consistent with…