
Aditya Institute of Technology and Management, Konusulakotturu, Andhra Pradesh
The CIGAI Conference is an esteemed international gathering focused on Mathematical Modeling in Computational Intelligence and Generative AI, hosted by the Aditya Institute of Technology and Management in Konusulakotturu, India. The conference serves as a premier interdisciplinary platform aimed at fostering innovation through collaboration among researchers, academicians, and industry experts. Attendees will explore the crucial intersection of mathematical models, computational intelligence, and generative AI, which has emerged as a transformative technology in various fields, particularly in science and engineering. The application of Generative AI has seen explosive growth, facilitating the creation of new products, automation of systems, generation of synthetic data, and enhancement of decision-making processes, particularly in healthcare and medical research.CIGAI Conference emphasizes the importance of mathematical models such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), which are being leveraged to produce realistic images, support data augmentation, and improve disease diagnosis among other applications. The conference invites research scientists, academicians, and scholars to share their findings and innovative applications in the realms of AI, computational intelligence, and generative modeling. Participants are encouraged to submit original research papers that are not under review or published elsewhere. These submissions will undergo a rigorous double-blind peer review process, focusing on originality, significance, and clarity, with only impactful research selected for publication in the conference proceedings.CIGAI-2026 will cover a wide range of advanced topics such as Generative AI, Deep Learning, Neural Networks, Ethical AI Optimization, Big Data, Predictive Modeling, Numerical Modeling, and Climate Modeling. The conference also aims to address pressing issues such as sustainability through eco-AI and clean energy
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