Artificial Intelligence Review

Overview

Artificial Intelligence Review is a fully open access journal publishing state-of-the-art research in artificial intelligence and cognitive science.

Publishes critical evaluations of applications, techniques, and algorithms in the field.
Provides a platform for researchers and application developers.
Presents refereed survey and tutorial articles.
Offers reviews and commentary on significant developments.

Editor-in-Chief

Artificial intelligence technologies for aging in place: a systematic review
Keyi Li
Chengliang Wang
Zhuopeng Yu
OriginalPaper Open access 01 October 2026
Towards optimized forward–forward training for neural networks
Yomna Abdulgawad Elnady
Amany Mahmoud Sarhan
Mohammad Ali Eita
OriginalPaper Open access 30 September 2026 Article: 232
LLM-driven personalized and adaptive systems for health and wellness: a systematic review
Japheth Mumo Kimeu
Gerry Chan
Oladapo Oyebode
OriginalPaper Open access 30 September 2026
Recent advances in the Horse herd optimization algorithm, its versions, and applications
Mohammed A. Awadallah
Soud Asaad Alhazba
Mirna Nachouki
OriginalPaper Open access 29 September 2026
Artificial Intelligence (AI) assurance: challenges, gaps, and the path forward
Anita Khadka
Carsten Maple
OriginalPaper Open access 29 September 2026

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Articles in Press
Springer Nature Editor of Distinction Awards 2026
Artificial Intelligence Review is now fully open access!

We are excited to announce that Artificial Intelligence Review has now become a fully open access (OA) journal as of January 2024. This means that we will only be publishing articles as Open Access meaning content will be and freely available to readers worldwide, enabling the widest possible dissemination and reuse.

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Electronic ISSN: 1573-7462
Print ISSN: 0269-2821
Abstracted and indexed in: ACM Digital Library

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