Topics of Interest
The topics of the conference are divided in to several themese. Topics of interest include but not limited to the following.
Theme 1: Advancements in Generative AI and Autonomous Systems
- Evolution and Core Principles of Generative AI
- Autonomous Systems: Architectures and Learning Mechanisms
- Challenges and Ethical Considerations in Generative AI
- Transformer-based Architectures for Generative AI
- Diffusion Models and Their Impact on AI Generation
- Applications of Generative AI in Image, Text, and Video Synthesis
- Reinforcement Learning for Adaptive Decision-Making
- Autonomous Navigation and Control in Robotics
- Safe and Explainable AI for Autonomous Systems
Theme 2: Intelligent Decision-Making in Healthcare, Finance, and Industry 4.0
- AI-Assisted Diagnosis and Predictive Analytics
- Personalized Medicine and Drug Discovery with AI
- Ethical and Regulatory Challenges in AI-Powered Healthcare
- AI for Financial Market Prediction and Portfolio Optimization
- Fraud Detection and Anomaly Detection in Banking Systems
- Responsible AI in Finance: Fairness and Transparency
- Predictive Maintenance and Quality Control Using AI
- Digital Twins and Simulation for Smart Manufacturing
- AI-Driven Supply Chain Optimization
Theme 3: AI in Educational Transformation
- AI-Driven Personalized Learning: Shaping the Future of Education
- Automated Assessment and Feedback Systems in AI-Based Learning
- Intelligent Tutoring Systems: Enhancing Student Engagement with AI
- AI in Curriculum Design: Adaptive Learning Strategies for Diverse Learners
- AI-Powered Virtual Classrooms: The Future of Remote Education
- Bridging Educational Gaps: AI for Inclusive and Accessible Learning
- Ethical AI in Education: Balancing Automation and Human-Centric Teaching
- AI-Powered Language Learning: Revolutionizing Multilingual Education
- Predictive Analytics in Education: Improving Student Retention and Success
- Gamification and AI: Enhancing Engagement Through Smart Learning Tools
Theme 4: Sustainable Development Through Science and Technology
- AI and IoT for Smart Cities: Innovations for Sustainable Urban Development
- Renewable Energy Optimization with AI: Towards a Greener Future
- AI-Enabled Environmental Monitoring for Climate Change Mitigation
- Blockchain for Sustainable Development: Ensuring Transparency and Efficiency
- Advancing Circular Economy through AI and Emerging Technologies
- Smart Agriculture: AI-Powered Precision Farming for Food Security
- AI in Waste Management: Enhancing Recycling and Resource Optimization
- Water Conservation through AI: Smart Solutions for a Sustainable Future
- AI in Disaster Management: Enhancing Response and Recovery Strategies
- Science, Technology, and AI for Global Sustainability Goals