Category: History

Our Goal The Technical Committee on Bioinformatics and Medicine of SMC was formed to further the exchange of information and create interaction between the various fields of biology, medicine and cybernetics (information, feedback and control). Join Us Interact with multiple academic discipline interested in biology and medicine. Contribute to innovative thinking in medical information. Organize…

Our Goal Machine Learning is the study of computer algorithms that improve automatically through experience. Applications range from data mining programs that discover general rules in large data sets, to information filtering systems that automatically learn users’ interests. Machine learning algorithms and systems include: Concept Learning and the General-to-Specific Ordering Decision Tree Learning Artificial Neural…

Our Goal Intelligent Vehicular Systems and Control (IVSC)’s goal is to promote applying system & control theory and computational intelligence to solving current and future mobility problems in achieving safe, comfortable, green, and autonomous operations of ground vehicles. The IVSC strives to cover both theoretic and practical aspects of intelligent vehicles, automotive systems and controls….

Our Goal The Internet has made new and novel ways of social and economical collaboration and interaction possible. In this Internet-enabled environment, intelligent systems play an important role in satisfying the needs and aspirations of a new generation of users. Our TC aims to promote research into the development and integration of intelligent tools and…

Our Goal The widespread nature of multimedia processing technologies and the rapid growth of network access availability have enabled many powerful and creative applications. Digital multimedia content can be created, edited, distributed, shared, and stored with convenience at a very low cost over the mobile and ad hoc nature of today’s various networks. The use…

Our Goal Granular Computing (GrC) is a general computation theory for effectively using granules such as classes, clusters, subsets, groups, and intervals to build an efficient computational model for complex applications with huge amounts of data, information, and knowledge. The goal of the technical committee is to provide a forum to help establish the core…

Our Goal The goal of this Committee (eIS) is to develop novel online learning methods and computationally efficient algorithms for real-time applications leading to evolvable classifiers, predictors, controllers, decision trees, fuzzy systems, neural networks. Cognitive and psychological aspects of the evolution of individual systems will also be of interest. Books Handbook on Computational Intelligence published…