About the Journal

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.

Aim & Scope

  • 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

Journal Information

  • Title: Future and Emerging Technologies in AI & ML (FETAIML)
  • Editor-in-Chief: Dr. Abdul Azeez Yusuf
  • Publisher: Python Publishing Press (PPP), Hlavné námestie 12, 811 01 Bratislava, Slovakia
  • First published: 2022
  • Frequency: Half-yearly (two issues a year)
  • Peer review: Double-blind, by at least two independent reviewers
  • Licence: CC BY 4.0; authors keep their copyright
  • DOI: registered with Crossref (prefix 10.70705)
  • Article Processing Charges: see APC rates and waivers
  • Indexing: Google Scholar, Crossref
  • Language: English
  • Contact: publisher@pythonpublishingpress.org