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