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
• Behavior 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.


Submissions:
Paper Submission Web: Click here or go to http://edas.info/ by selecting " 2018 AI " by a name of 2018 International Workshop on AI & Deep Learning.

Electronic submission to Papers@cyberc.org with a title of "2018 AI Submission" is also accepted.

Publications: Accepted and presented papers will be included in CyberC 2018 Proceeding.

Workshop Chair
Guangxia Xu, The Chongqing University of Posts and Telecommunications, China

Workshop Co-Chairs
Houqun Yang, Hainan University, China
Zhiyong Zhang, Henan University of Science and Technology, China

Workshop Secretaries
Jun Liu, Chongqing University of Posts and Telecommunications, China