About AIScyentist

AIScyentist is a peer-reviewed, open access journal for original research and reviews in applied artificial intelligence — from methods to their use across science, engineering, health and industry. All manuscripts undergo double-blind peer review.

Publication Features

Aims and Scope

AIScyentist publishes research on artificial intelligence and its application. The journal favours applied and empirical work whose results can be reproduced, and requires code and data to be available for every paper. Subject areas include, but are not limited to:

• Machine learning methods and applications
• Deep learning architectures and training
• Computer vision and image analysis
• Natural language processing and language models
• AI in science and engineering
• AI in healthcare and diagnostics
• AI for materials and chemistry
• Data-driven modelling and simulation
• Reinforcement learning and control
• Explainability, robustness and evaluation
• Edge, embedded and efficient AI
• Speech, audio and signal processing
• Knowledge representation and reasoning
• Ethics, fairness and governance of AI

Types of Articles

1. Original Research Articles — full reports of new methods, systems or empirical results.
2. Review Articles — critical, in-depth surveys of an active area, identifying gaps and future directions.

Journal Particulars