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. AIMS 2025 will be co-located with the 3rd International Conference on Foundation and Large Language Models (FLLM 2025). AIMS accepted papers will appear in the FLLM proceedings and will be submitted within the FLLM proceedings to IEEE for possible inclusion.

Prospective authors are invited to submit original technical papers using the EDAS link:

Topics include (but are not limited to):

1. AI Model Development
   • Deep learning architectures
   • Reinforcement learning algorithms
   • Transfer learning and meta-learning
   • Self-supervised learning
2. Natural Language Processing (NLP)
   • Large language models (LLMs)
   • Text generation and summarization
   • Sentiment analysis and emotion detection
   • Machine translation and multilingual models
3. Generative AI
   • Generative adversarial networks (GANs)
   • Diffusion models
   • AI for creative applications (art, music, design)
   • Synthetic data generation
4. Explainable AI (XAI)
   • Interpretability of AI models
   • Transparent decision-making systems
   • Human-AI collaboration and trust
   • Ethical and accountable AI systems
5. AI in Healthcare
   • Medical image analysis
   • AI for drug discovery and genomics
   • Predictive analytics for patient care
   • AI-powered diagnostics and treatment planning
6. AI in Robotics
   • Autonomous systems and self-learning robots
   • Human-robot interaction
   • Robotics for industrial and service applications
   • Swarm intelligence and multi-agent systems
7. 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
8. Computer Vision
   • Object detection and recognition
   • Video analysis and action recognition
   • 3D vision and augmented reality (AR)
   • AI for facial recognition and biometrics
9. 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
10. Edge and Distributed AI
    • Federated learning
    • Edge AI for IoT devices
    • AI in 5G/6G networks
    • Decentralized AI systems
11. AI Ethics and Governance
    • Bias and fairness in AI systems
    • Privacy-preserving AI
    • Regulatory frameworks for AI
    • AI accountability and transparency
12. 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
13. AI and Cybersecurity
    • AI for threat detection and prevention
    • Adversarial machine learning
    • AI in network security
    • Privacy-enhancing technologies
14. AI and Smart Cities
    • AI for urban planning and infrastructure
    • Intelligent transportation systems
    • AI-powered public safety and surveillance
    • Smart energy and resource management
15. Quantum AI
    • Quantum machine learning
    • AI applications in quantum computing
    • Hybrid quantum-classical algorithms
16. AI and Human-Centered Design
    • AI for user experience (UX) optimization
    • Human-AI interaction and collaboration
    • AI in gaming and entertainment
17. 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
18. 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