AIMLS

Artificial Intelligence and
Machine Learning Systems

Intelligent Systems. Rigorous Research. Real-World Impact.

An international peer-reviewed open-access journal publishing original research in artificial intelligence, machine learning, intelligent systems, and trustworthy AI.

Peer ReviewedEditorial quality control Open AccessGlobal research visibility Continuous OnlineDigital publishing workflow
AI CORE
Publication ModelOpen Access
Journal ScopeAI & ML Systems
ReviewPeer Reviewed
LanguageEnglish
Current Publication

Latest issue

The journal's current publication, updated automatically from the OJS editorial workflow.

Vol. 1 No. 1 (2026): Artificial Intelligence and Machine Learning Systems
Current Issue

Vol. 1 No. 1 (2026): Artificial Intelligence and Machine Learning Systems

Artificial Intelligence and Machine Learning Systems

Explore the latest peer-reviewed research published by AIMLS.

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For Authors

Publish with AIMLS

Submit original research aligned with the journal's scope through a structured editorial and peer-review workflow.

Clear ScopeAI, ML, systems and applications
OJS WorkflowSubmission through publication
Submission Guidelines
Journal Scope

Research areas

Focused coverage of foundational methods, intelligent systems and responsible real-world deployment.

AI

Artificial Intelligence

Reasoning, planning, agents, generative AI and intelligent decision systems.

ML

Machine Learning

Learning algorithms, neural architectures, optimization and representation learning.

SYS

AI Systems

Serving, acceleration, distributed inference, resource scheduling and deployment.

TR

Trustworthy AI

Robustness, interpretability, safety, fairness, verification and governance.

Indexing & Infrastructure

Indexing & Scholarly Infrastructure

AIMLS uses persistent identifiers, structured scholarly metadata, and standards-based publishing infrastructure to support research discovery, citation, and long-term access.

Crossref

Crossref

DOI registration and scholarly metadata infrastructure.

Digital Object Identifier (DOI)

Digital Object Identifier (DOI)

Persistent identifiers supporting reliable citation and long-term access to published research.

Google Scholar

Google Scholar

Scholarly discovery through structured article metadata and search-engine accessible publication pages.

Technical Infrastructure

Structured MetadataArticle-level citation, author and publication metadata.
OAI-PMHStandards-based metadata harvesting and scholarly interoperability.
Persistent AccessStable issue and article URLs for long-term research access.
Open StandardsNative OJS publication pages with accessible scholarly HTML.

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Use the journal submission system to begin a new manuscript submission.

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