Artificial Intelligence (AI) is concerned with computing technologies that allow machines to see, hear, talk, think, learn, and solve problems even above the level of human beings. On the one hand it allows data to be analyzed by real-time models that enable unprecedented levels of accuracy and efficiency. On the other hand it enables domain specific problem solving and knowledge discovery that cannot be easily done by humans.
The first International Conference on Transdisciplinary AI (TransAI 2019), technically sponsored by the IEEE Computer Society, is an international forum focusing on the interactions between artificial intelligence (AI) and other research disciplines. It consists of themes that each addresses the applications of AI to a specific research discipline as well as how applications may advance the research on AI.
Every paper accepted for publication in the Proceedings MUST be presented during the conference.
Every paper accepted MUST have attached to it at least one registration at the full member/nonmember rate. Thus, for a paper for which all authors are students, one student author will be required to register at the full registration rate.
Data and knowledge engineering of vertical domains
Semantic and cognitive aspects of vertical domains
Domain specific problem solving
Machine and deep learning
Big data and analytics
Domain specific knowledge representation
Domain specific knowledge discovery
Domain specific knowledge management
System components of intelligent platforms