The Sustainable Machine Intelligence Journal (SMIJ) is an international, double-blind peer-reviewed, open-access journal published quarterly (see Publishing Schedule for the journal’s volume/issue model), both online and in print. The journal is committed to advancing research in sustainable machine intelligence, integrating innovative approaches in artificial intelligence, machine learning, and intelligent systems with a focus on environmental, social, and economic sustainability.

SMIJ explores emerging concepts such as energy-efficient algorithms, ethical AI frameworks, resource-aware computational models, and sustainable decision-making systems, emphasizing their real-world applications in diverse domains. It also features studies in advanced areas like green machine learning, sustainable data processing, and intelligent optimization methodologies, fostering innovation in developing responsible and future-ready intelligent systems.

The journal serves as a platform for publishing high-quality research addressing challenges in creating intelligent systems that balance performance with sustainability. It promotes advancements in areas such as sustainable AI-driven optimization, eco-friendly computational models, intelligent data management, and green decision support systems, aiming to solve critical problems in modern technology and society.

SMIJ seeks to encourage interdisciplinary collaboration and innovation, making it a vital resource for academics, industry experts, and policymakers striving for a sustainable future powered by intelligent technologies.

SMIJ was established in 2022, and the first issue was published in October 2022. The journal publishes articles in English.

For a detailed overview of the journal’s scope and focus area, please refer to Aims and Scope homepage.