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Annals of Technology in AI

(ISSN 1946-835x) IF(1.218)

About Us

At the forefront of Technology and AI (ISSN 1946-835x) IF(1.218), The Annals of Technology is a peer-reviewed journal that serves as a forum for researchers, practitioners and enthusiasts to share cutting-edge research, cutting-edge applications, and innovative perspectives on the ever-changing landscape of AI.

We publish a wide range of content, from original research articles, cutting-edge reviews, and case studies to technical notes and opinion pieces covering a broad range of topics related to AI technology. We cover everything from machine learning, deep learning algorithms, neural networks and computer vision to natural language processing, AI ethics, and more.

Our editorial board is made up of leading professionals and visionaries in AI and technology, and all submissions are subject to rigorous peer review to ensure the journal maintains the highest standards of academic integrity and relevance. We focus on publications that not only demonstrate technical excellence, but also present real-world applications and societal implications, as well as ethical considerations of AI technologies.

The goal of the journal is to promote interdisciplinary collaboration, diversity, and the development of cutting-edge AI-driven technologies. The journal seeks to provide a platform where researchers and practitioners from different backgrounds can share ideas, exchange insights, and work together on innovative projects.

As AI continues to revolutionize and transform industries and societies around the world, our journal seeks to be a reliable source of knowledge and innovation for technologists, policy makers, industry executives, and academics. We invite contributions from researchers and practitioners from all over the world and encourage them to contribute to the development of AI-driven technologies and their positive effects on humanity.

Scopes
  •   AI Technology
  •   Artificial Intelligence Innovations
  •   Emerging AI Trends
  •   AI Applications
  •   AI-driven Technologies
  •   Machine Learning Algorithms
  •   Deep Learning Systems
  •   Neural Network Architectures
  •   Natural Language Processing Solutions
  •   Computer Vision Technologies
  •   Robotics and Automation
  •   Intelligent Systems
  •   AI in Industry
  •   AI in Healthcare
  •   AI in Finance
  •   AI in Education
  •   AI Ethics and Governance
  •   Explainable AI
  •   AI Security and Privacy
  •   AI-enabled Tools and Platforms
  •   Ethical AI Design
  •   Human-AI Collaboration
  •   AI-driven Innovation
  •   AI Impact Assessment
  •   AI Future Trends