About the Journal

AISystems aims to advance the engineering and optimisation of artificial intelligence systems at scale. The journal focuses on the full lifecycle of AI model design, deployment, evaluation, and automation emphasising system robustness, efficiency, and accountability. It supports research spanning LLMs, multimodal models, MLOps tooling, edge computation, agent systems, and AI-enabled robotics. AISystems prioritises practical, scalable solutions that address real-world challenges in computation, operations, reliability, and governance. The dedicated sustainability scope strengthens its relevance by promoting energy-efficient AI and resource-conscious algorithm design. 

Announcements

Call for Papers: Advancing the Frontiers of Engineering and Optimisation for AI Systems at Scale

02/28/2026

  • Mission Focus:​ This journal is dedicated to publishing high-quality research on the full lifecycle of AI systems (design, deployment, evaluation, automation), with core emphasis on robustness, efficiency, and accountability.

  • Technical Frontier:​ It focuses on engineering practices and optimisation solutions in areas such as large language models & multimodal systems, MLOps, edge computing, agent systems, and AI-enabled robotics.

  • Practice-Oriented:​ The journal prioritises scalable solutions that address real-world challenges in computation, operations, reliability, and governance, including energy-efficient AI and green computing infrastructure.

  • Call to Action:​ We cordially invite researchers, engineers, and practitioners to share their original work on building the next generation of reliable, efficient, and responsible AI systems.

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