Aim & Scope
Future and Emerging Technologies in AI & ML (FETAIML) is a peer-reviewed, open-access journal published by Python Publishing Press. It publishes research on the methods behind modern artificial intelligence and on how those methods behave once they leave the lab and meet real data, users and constraints.
Theory, algorithms, systems and applied studies are all welcome. We value clear experiments, fair comparisons and an honest account of where a method works and where it does not.
Scope
We welcome original research articles, reviews, short communications and case-based studies in areas including:
- Machine learning theory and new learning algorithms
- Deep learning, foundation models and generative AI
- Natural language processing and computer vision
- Reinforcement learning, robotics and autonomous systems
- Edge AI, federated learning and efficient model deployment
- AI in healthcare, finance, education, industry and sustainability
- Trustworthy, explainable and responsible AI
- AI security, privacy and robustness
Not sure whether your manuscript fits? Write to publisher@pythonpublishingpress.org with a short summary before you submit and the editors will tell you.
