TRAIN2026: Transactions in AI and NextGen

Welcome to Transactions in AI and NextGen (TRAIN), a peer-reviewed journal by Bharat Research. Our mission is to advance knowledge and foster innovation in emerging artificial intelligence, focusing on generative AI, causal AI, interpretable AI, and next-gen across interdisciplinary domains. We are committed to showcasing pioneering work that shapes the evolving landscape of AI, encourages responsible innovation, and drives the next wave of intelligent technologies.

Vision:

"Exploring the Intelligence Behind Tomorrow’s Technologies."

Mission:

• To become a leading international platform for cutting-edge research, visionary ideas, and transformative innovations in artificial intelligence and next-generation technologies.
• To support interdisciplinary scholarship that improves both theoretical understanding and real-world applications of emergent AI, connecting academic research, industrial advancements, and societal impact.

About the Journal

Transactions in AI and NextGen (TRAIN) serves as a dynamic forum for researchers, practitioners, and industry leaders to share cutting-edge research, reviews, and visionary perspectives that shape the future of AI.

Key Areas:

• Generative AI
• Causal AI
• Interpretable/Explainable AI
• Emergent AI Architectures
• Next-Generation Machine Learning
• Edge AI and AIoT
• Human-AI Collaboration
• Ethics, Governance, and Societal Impact

Audience:
Researchers, academicians, industry practitioners, technologists, policymakers, and students engaged in AI and interdisciplinary innovation.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome.

1. Author Guidelines:

Authors are invited to submit original, unpublished research papers presenting novel contributions. Submissions should not be under consideration in any other conference or journal.

Detailed author submission guidelines can be found [here] (link to PDF or page).
Key points:

• Manuscript format: Abstract, Introduction, Related Work, Methodology, Results, Discussions, Conclusion
• An abstract should be 200–250 words and have 6 to 8 keywords.
• Referencing style: APA format
• No submission or publication fees (for the inaugural year)
• Figures should be of high resolution and numbered as Fig. 1,2,3,4,...... in the text.
• Every figure should have a compact, appropriate title. Both the figure number and title should appear below the figure. Every figure should be cited in the text wherever it is used.
• Tables must have a single border and follow the Springer Nature format.
• Tables should be numbered as Table 1, Table 2, Table 3, and so on.
• Every table should have a compact, appropriate title. Both the table number and title should appear above the table. Every table should be cited in the text wherever it is used.

2. Guidelines for Paper Submission:

Contributors are requested to follow the guidelines given below:

• Authors are invited to submit original, unpublished research papers presenting novel contributions.
• Submissions should not be under consideration in any other conference or journal.
• Papers must follow the prescribed format ( Springer Paper Template for Windows and Mac).
• The full paper should have a minimum of 10 A4 pages, including an introduction, survey of literature, proposed work, and result section. It excludes the bibliography (references) and appendices.
• Literature (research papers, conference papers, books, etc.) written in the "Reference" section must appear in the order of their citation throughout the paper.

3. Scope of the Journal:

The journal welcomes high-quality original research, reviews, case studies, and visionary perspectives in (but not limited to) the following areas:

Core AI Paradigms and Vertical Focus Areas

• Generative AI (large language models, diffusion models, generative adversarial networks, creative AI applications)

• Causal AI (causal inference, causal discovery, counterfactual reasoning, applications in decision-making and policy)

• Interpretable and Explainable AI (model transparency, explainability techniques, human-centered AI design)

Emergent AI Technologies and Approaches

• Emergent AI Architectures (agentic AI, foundation models, neurosymbolic )

• Next-Generation Machine Learning (continual learning, meta-learning, adaptive AI)

• Edge AI and Embedded Intelligence

• AI for Complex and Cyber-Physical

• Human-AI Collaboration and Cognitive AI

• AI-Enabled Internet of Things (AIoT)

Interdisciplinary Applications

• Healthcare, bioinformatics, and precision medicine

• Finance, commerce, and smart markets

• Education technology and learning sciences

• Agriculture, climate science, and sustainability

• Robotics and autonomous

• Creative industries and digital humanities

Ethics, Standards, and Societal Impact

• AI governance and policy

• Bias mitigation and responsible AI

• Standardization and benchmarking

• Societal implications of emergent AI

4. Committees

• Executive Editor – Dr. Neha Sharma
• Editor-in-Chief – Prof. Dr. Seema Purohit
• Deputy Editor – Mr. Mrityunjoy Panday
• Associate Editor and Managing Chair – Dr. Rachana Sable
• Journal Publishing Chair – Mr. Dhiraj Chaurasia

5. Publication:

Papers will be published the Journal "Transaction in AI and Next Gen"

6. Contact

All questions about submissions should be emailed to trainjournal25@gmail.com