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Introduction
PART I: ICAI'20
Brain models, Brain mapping, Cognitive science
Natural language processing
Fuzzy logic and soft computing
Social impact of AI
Emerging technologies
Statistical learning theory
Unsupervised and Supervised Learning
Multivariate analysis
Hierarchical learning models
Relational learning models
Bayesian methods
Meta learning
Stochastic optimization
Heuristic optimization techniques
Neural networks and variations
Reinforcement learning
PART II: ACC 2020
Novel Computationally Intelligent algorithms
Bio Inspired Cognitive Algorithms
Improving Cognition in machine learning systems
Modeling Human Brain processing systems
Multimodal learning systems
Autonomous learning systems
Reinforced learning
Conclusion.

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