Advancing artificial intelligence solutions for contemporary engineering systems

Abstract

Advances in large‑scale models, deep learning, and high‑performance computing are bridging artificial intelligence fast from theoretical exploration to real‑world industrial and engineering applications. However, there are still many technical and practical challenges that prevent the development of robust artificial intelligence systems which are resilient, scalable, interpretable, and reliably implemented in specific engineering applications such as energy, information, and medicine. This fast-moving field is addressed by the international peer‑reviewed journal, Advanced IntelliEngineering (AIE), which bridges the crucial chasm between cutting‑edge artificial intelligence innovation and practical engineering deployment. The journal is built around three interdependent core pillars of energy, information, and medicine. High‑quality research contributions focusing on frontier topics such as artificial intelligence‑enabled geo‑energy systems, physics‑guided modeling and simulation, intelligent computing frameworks, embodied and generative artificial intelligence, 6G artificial intelligence‑native networks, medical foundation models, healthcare digital twins, robotic‑assisted surgery, artificial intelligence‑driven drug discovery, etc.

Document Type: Editorial

Cited as: Hu, F., Liu, J. Advancing artificial intelligence solutions for contemporary engineering systems. Advanced IntelliEngineering, 2026, 1(1): 1-3. https://doi.org/10.46690/aie.2026.01.01