Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface

Machine Learning for Intelligent Agents

Machine Learning for Intelligent Systems

Recent research in machine learning has focused on supervised induction for simple classification and reinforcement learning for simple reactive behaviors. In the process, the field has become disconnected from AI’s original goal of creating complete intelligent agents. In this paper, I review recent work on machine learning for planning, language, vision, and other topics that runs counter to ...

Towards Intelligent Machine Learning Algorithms

Machine Learning for Intelligent Information Access

As the volume of electronically stored information continues to expand across computer networks, the need for intelligent access to on-line collections of multimedia documents becomes imperative. Examples of such collections are the World Wide Web, digital libraries and enterprise-wide information repositories. Machine learning offers an invaluable corpus of techniques, tools and systems that c...

Looking for Intelligent Reconfigurable Simulation

Simulation relates function to structure. Researching intelligence by simulating it to get to intelligent simulation demands the study of essential abstract structures: the human mind, the different types of hierarchies, and the simulation as relation between static and dynamic structures. Intelligence and Faith, as any other dichotomies, can converge together to integration, or can destroy eac...