Track 1 : Artificial Vision and Computer Perception

• Computer Vision

• Image Classification

• Object Detection and Recognition

• Image Segmentation

• Image and Video Understanding

• Medical Imaging

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Track 2 : AI Applications across Domains

• Applications in medical diagnosis, drug discovery, personalized medicine

• Algorithmic trading, fraud detection, risk management

• Predictive maintenance, anomaly detection, process optimization

• Traffic management, resource optimization, public safety

• Personalized learning, intelligent tutoring systems

• Environmental monitoring, resource management, climate change analysis

• Understanding human behavior, social network analysis

• Automatic Control

• Robotics and Autonomous Systems

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Track 3 : Foundational Theories and Algorithms in AI

• Optimization Techniques

• Probabilistic Methods

• Explainable AI (XAI)

• Logic and Reasoning

• Machine Learning

• Metaheuristics and Evolutionary Algorithms

• Deep Reinforcement Learning (DRL)

• Optimization for AI Applications

• Responsible AI and Ethical Consideration

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Track 4 : Natural Language Processing and Applications

• Text Processing and Understanding

• Machine Translation (MT) with LLMs

• Text Summarization:

• Dialogue Systems and Conversational AI

• Sentiment Analysis and Opinion Mining

• Natural Language Generation (NLG) with LLMs

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Track 5 : Generative AI and Large language models

• Generative Adversarial Networks (GANs)

• Variational Autoencoders (VAEs)

• Autoregressive models and LLMs

• Applications of Generative AIArt