International Conference on Artificial Intelligence, Data Science and Computer Technology (ICAIDSCT-2026)
About Conference:
The International Conference on Artificial Intelligence, Data Science and Computer Technology (ICAIDSCT-2026) is a premier global platform dedicated to advancing research, innovation, and practical applications in Artificial Intelligence (AI) and Data Science. The conference brings together researchers, academicians, scientists, industry professionals, startups, and policymakers from around the world to share original research contributions, discuss emerging trends, and explore the transformative impact of AI-driven data intelligence across sectors. ICAIDSCT-2026 aims to foster interdisciplinary collaboration and knowledge exchange that drives responsible innovation, societal progress, and sustainable digital transformation.
Scope:
The scope of ICAIDSCT-2026 encompasses both foundational and applied research in AI and Data Science. It includes algorithm design, intelligent modeling, scalable data architectures, analytics platforms, and real-world deployment of AI solutions. The conference emphasizes ethical AI, fairness, transparency, explainability, and governance while encouraging domain-specific applications in healthcare, finance, education, smart cities, agriculture, and public sector systems. Research addressing challenges related to data quality, scalability, privacy, and responsible AI adoption is highly encouraged.
Topics:
The conference invites high-quality submissions on topics including, but not limited to:
Artificial Intelligence, Data Science and Computer Technology
- Machine Learning Algorithms and Applications
- Deep Learning and Neural Network Models
- Reinforcement Learning and Adaptive Systems
- Supervised, Unsupervised, and Semi-Supervised Learning
- Big Data Analytics and Distributed Computing
- Data Mining and Knowledge Discovery
- Predictive, Prescriptive, and Descriptive Analytics
- Natural Language Processing and Text Mining
- Speech Recognition and Conversational AI
- Computer Vision and Image Processing
- Video Analytics and Multimedia Intelligence
- Recommendation Systems
- Knowledge Graphs and Semantic AI
- AutoML and Hyperparameter Optimization
- Explainable and Interpretable AI (XAI)
- Ethical AI, Bias Mitigation, and Fairness
- Responsible AI and AI Governance
- Federated Learning and Privacy-Preserving AI
- Edge AI and Embedded Intelligence
- Real-Time Analytics and Stream Processing
- AI in Healthcare and Medical Informatics
- AI in Finance, Banking, and FinTech
- AI in Education and Intelligent Tutoring Systems
- AI for Smart Cities and Urban Analytics
- Business Intelligence and Data Visualization
- MLOps and AI Lifecycle Management
- AI for Social Good and Sustainability
- Intelligent Decision Support Systems
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