| The conference is organized
into diverse thematic clusters, each designed to explore the cutting
edge frontiers and real-world applications of Artificial Intelligence,
Machine Learning (ML), and the Internet of Things (IoT). From advancements
in robotics, natural language processing, edge computing, and IoT-enabled
systems to AI- and ML-driven sustainability, ethical governance, industry
transformation, and the future of work, these tracks provide a comprehensive
platform for multidisciplinary dialogue, innovation, and collaboration.
Track 1: Advances in Machine Learning, Deep Learning and
Generative AI
- Next-Generation Machine Learning Models
- Transformers and Large Language Models
- Natural Language Processing and ML For Interactive AI
- Generative AI Applications and Innovations
- Scalable AI Frameworks and Architectures
- Integrated Multi-Modal AI, IoT, and ML Systems
- IoT, Edge Computing and AI Integration
- Human-Centered AI, Adaptive Interfaces, and ML Integration
Track 2: AI for Sustainable Development
- AI For Climate Change Mitigation and Adaptation
- Energy-Efficient Algorithms and Systems
- AI in Renewable Energy Forecasting and Optimization
- AI for Sustainable Agriculture and Smart Farming
- AI in Environmental Monitoring, and Disaster Management
- Sustainable Smart Cities: AI for Urban Transformation
- AI in Sustainable and Smart Infrastructure
- Carbon Footprint Reduction Using AI-Driven Solutions
Track 3: AI in Healthcare, Education and Social Good
- AI for Precision Medicine and Diagnostics
- AI in Drug Discovery and Healthcare Management
- Personalized Learning and AI-Driven Education Tools
- AI in Historical and Cultural Data Analysis
- AI and Creativity – Transforming Art, Music, and Design
- AI for Social Good – Inclusion, Accessibility, and Equity
- AI in Disaster Management and Humanitarian Aid
Track 4: Ethical, Responsible and Trustworthy AI Frameworks
- Bias, fairness and Transparency in AI Systems
- Regulation, Governance and Policy-Making for AI
- Data Privacy and Security Challenges
- AI Governance: Regulatory Frameworks and Responsible
- Ethical implications of Generative and Autonomous AI
- Ethical AI: Bias, Transparency, and Accountability
- National AI Strategies and Policy Frameworks
Track 5: AI-Driven Transformation in Business Management
industry 4.0
- Predictive Analytics and Business Forecasting using AI and ML
- AI and ML in Financial Management – Risk Assessment and
Fraud Prevention
- Marketing 5.0 – Leveraging AI, ML, and IoT for Hyper-Personalized
Consumer Engagement
- AI, ML, and IoT in Supply Chain and Logistics – Smart
Solutions
- AI-Powered CRM – Customer Retention Strategies Enhanced
with ML and IoT
- AI, ML, and IoT in International Trade – Optimizing Cross-Border
Operations
- AI in Retail, E-Commerce, and Consumer Behaviour Analytics
Track 6: Applied AI Across Sectors: Transforming Industries
and Services
- International collaborations in AI research
- AI and Global Competitiveness
- Future of work in the AI era
- AI-driven Innovation Ecosystems and Startups
- Human–AI Synergy and Augmented Intelligence for the Future
Workforce
- Cognitive Computing – The next phase of human–machine
interaction
- The Future of Work – AI- and ML-Driven Organizational
Change and Workforce Upskilling
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