AI-learning 2018 - The First International Workshop on AI & Deep Learning

Artificial Intelligence (AI) is concerned with computing technologies that allow machines to see, hear, talk, think, learn, and solve problems. Deep learning is a new field of machine learning research, to design models and learning algorithms for deep neural networks. Due to the ability of learning from big data and the superior representation and prediction performance, deep learning has gained great successes in various applications of pattern recognition and artificial intelligence The aim of this workshop is to gather latest research breakthroughs in the area of AI & Deep Learning, especially for its applications in social networks, smart cities, power distribution systems, intelligent public transport services, and health technologies. This workshop will provide a forum for presenting and discussing the most recent advances in different aspects of AI & Deep Learning. The workshop aims to gather leading researchers from academics and industry to present their research achievements and share their experiences in developing/deploying AI & Deep Learning. 2018 AI-learning workshop is co-hosted with CyberC 2018. Authors are invited to submit original technical papers covering but not limited to the topics of interest listed below:
Machine and deep learning
Semantic and cognitive aspects in different industries
Innovative operations using artificial intelligence
Behaviour and activity generation
Data generation and validation
Dialogue modeling and generation
Data fusion and representation
System components of intelligent platforms for industries
Advanced artificial intelligence methods
Smart classification algorithms
Smart data mining for big data
Smart pattern recognition systems for clinical biomedical signals
Cognitive computing for smart machine
Decision making and reasoning
Robotics
Modeling practices using deep learning
Social networks and social contagion on networks
Human – computer interaction
Agent based modeling
Human-machine interactive systems
Cognitive architectures
Intelligent data analysis system
Cognitive recommender systems
Big data analytics
Deep learning for video text analysis
Deep learning for character and text recognition in video
Deep learning for scene text detection and recognition
Deep learning for graphics and symbol recognition in video
Video categorization based on text, etc.