Generative AI and Large Language Models
Model architectures, evaluation, optimization and research and industry applications
The conference spans foundational, methodological and applied research in AI and data science.
Model architectures, evaluation, optimization and research and industry applications
Supervised and unsupervised learning, reinforcement learning and robust AI methods
Data engineering, predictive analytics, mining, visualization and data-driven decisions
Image and video understanding, language processing, information retrieval and human–AI interaction
Perception, planning, intelligent control and human–robot interaction
Medical imaging, clinical decision support and health data analytics
Predictive maintenance, process optimization, supply chains and enterprise AI
Privacy, fairness, explainability, risk evaluation and accountability
Threat detection, behavioral analysis, data security and resilient AI systems
Paper submission deadline: 14 December 2026
Initial review results are normally communicated within 1–2 business days after complete paper submission.
Go to the Submission Portal ↗