The Artificial Intelligence Models and Systems Symposium (AIMS 2025) is a lively and inclusive gathering where researchers, academics, and industry professionals from across the globe come together to explore the latest advancements in artificial intelligence and intelligent systems. As AI continues to reshape industries and push the boundaries of what’s possible, AIMS 2025 creates a welcoming space for innovation, collaboration, and the exchange of ideas.

The Artificial Intelligence Models and Systems Symposium (AIMS 2025) serves as a premier platform for researchers, academics, and industry professionals to converge and explore the latest advancements, challenges, and applications in the dynamic fields of rtificial Intelligence Models and Systems. The conference provides a collaborative environment for the exchange of ideas, fostering innovation and promoting interdisciplinary research at the intersection of these transformative domains.

Prospective authors are invited to submit original technical papers using the EDAS link:
https://edas.info/N33715

Topics include (but are not limited to):

    AI Model Development
        Deep learning architectures
        Reinforcement learning algorithms
        Transfer learning and meta-learning
        Self-supervised learning
    Natural Language Processing (NLP)
        Large language models (LLMs)
        Text generation and summarization
        Sentiment analysis and emotion detection
        Machine translation and multilingual models
    Generative AI
        Generative adversarial networks (GANs)
        Diffusion models
        AI for creative applications (art, music, design)
        Synthetic data generation
    Explainable AI (XAI)
        Interpretability of AI models
        Transparent decision-making systems
        Human-AI collaboration and trust
        Ethical and accountable AI systems
    AI in Healthcare
        Medical image analysis
        AI for drug discovery and genomics
        Predictive analytics for patient care
        AI-powered diagnostics and treatment planning
    AI in Robotics
        Autonomous systems and self-learning robots
        Human-robot interaction
        Robotics for industrial and service applications
        Swarm intelligence and multi-agent systems
    AI for Sustainability
        Climate modeling and environmental monitoring
        AI for energy optimization and smart grids
        Sustainable agriculture and food systems
        AI-driven solutions for waste management
    Computer Vision
        Object detection and recognition
        Video analysis and action recognition
        3D vision and augmented reality (AR)
        AI for facial recognition and biometrics
    AI for Social Good
        AI for disaster response and management
        AI in education and accessibility
        AI for poverty alleviation and social equity
        AI applications in humanitarian efforts
    Edge and Distributed AI
        Federated learning
        Edge AI for IoT devices
        AI in 5G/6G networks
        Decentralized AI systems
    AI Ethics and Governance
        Bias and fairness in AI systems
        Privacy-preserving AI
        Regulatory frameworks for AI
        AI accountability and transparency
    AI in Business and Industry
        AI for supply chain optimization
        Predictive maintenance and quality control
        AI-driven customer insights and personalization
        AI in finance and risk management
    AI and Cybersecurity
        AI for threat detection and prevention
        Adversarial machine learning
        AI in network security
        Privacy-enhancing technologies
    AI and Smart Cities
        AI for urban planning and infrastructure
        Intelligent transportation systems
        AI-powered public safety and surveillance
        Smart energy and resource management
    Quantum AI
        Quantum machine learning
        AI applications in quantum computing
        Hybrid quantum-classical algorithms
    AI and Human-Centered Design
        AI for user experience (UX) optimization
        Human-AI interaction and collaboration
        AI in gaming and entertainment
    AI for Big Data and Analytics
        AI-driven data mining and pattern recognition
        Real-time analytics and decision-making
        AI for large-scale data processing
    AI in Emerging Technologies
        AI in augmented reality (AR) and virtual reality (VR)
        AI for blockchain and decentralized systems
        AI in space exploration and satellite systems