Call for Papers
About the Conference
IBS, Bangalore (Off-Campus Center of IFHE University) is going to organize the 4th International Conference on Artificial Intelligence: Theory and Applications (AITA 2026) in technical support of The Institution of Engineers and Scientists (The IoES) from August 07-08, 2026. The AITA 2026 aims to bring researchers, academicians, industry, and government personnel together to share and discuss the various aspects of AI Theory and Applications. The conference will witness multiple eminent keynote speakers from academia and industry from all over the world along with the presentation of accepted peer-reviewed articles. For more details, please visit the conference website: https://theioes.org/aita2026/.
Submissions
Full-length Paper
Accepted papers will be published in the SCOPUS Indexed Springer Book Series, 'Lecture Notes in Networks and Systems' (Approval Pending).
Short Paper (< 6 Pages)
Authors will be given the chance to present during the conference. The Short papers will be published in the SBS proceedings (a publication of The Institution of Engineers and Scientists) indexed in Google Scholar.
Abstract Only*
Authors will be given the chance to present during the conference. A book of abstracts will be published in the e-version of souvenir of the conference.
Poster Presentation*
Authors will be given the chance to present during the conference. Please bring one printed poster in A-3 size. The poster will be published in the e-version of souvenir of the conference.
*Abstract/Short Paper/ Poster will not be published in the conference proceedings.
Topics
The topics covered (but are not limited to) in the conference are as follows:
Artificial Intelligence Theory
- Machine Learning and Deep Learning
- Natural Language Processing
- Computer Vision
- Knowledge Representation and Reasoning
- Neural Networks and Deep Architectures
- Reinforcement Learning
- Explainable AI
- Ethical and Responsible AI
AI Applications
- AI in Healthcare and Medical Diagnosis
- AI in Finance and Business
- AI in Education
- AI for Smart Cities
- AI in Cybersecurity
- AI for Social Good
- AI in Agriculture
- AI in Manufacturing
Emerging Technologies
- AI in the Internet of Things (IoT)
- Generative AI and Large Language Models
- AI in Autonomous Systems
- AI for Environmental Sustainability
- Edge AI and Embedded Systems
- AI in Robotics