Hybrid Intelligent Interface (Machine Learning)
February 21 @ 6:00 PM - 9:00 PM
Co-sponsored by: James Gowans
The Hybrid Intelligent Interface is a software system that bridges human and complex environments as a user-friendly interface for convenience and service. Ideal Human Computer Interfaces need a hybrid solution with ontology, natural language understanding, and machine learning tools. This work investigates how to combine understanding and learning in to a system of principles. Of course, each of these tasks has very high complexity, so we need to look for partial restricted solutions. Current solutions can be reduce complexity so each subject area may accomplish function while adding user experience and a better understanding of what General AI is and what architecture it should have. This presentation presupposes the existence of examples of concepts processed by Machine Learning methods and the ability to use them in ontology and related procedures.
Speaker(s): Alexey Egorov,
Bldg: Ritchie School of Engineering
2155 East Wesley Avenue