Holistic AI Technologies and Applications

Dear Colleagues,

Holistic artificial intelligence mainly studies the theories, technologies, mechanisms, paradigms and frameworks required for the systematic reconstruction of artificial intelligence. It comprises big loop AI (to realize an end-to-end optimization with cascade and parallel AI capabilities), atomized AI (to dismantle and refactor AI capability in a reusable manner), network native AI (to standardize AI capability and computability as a service for on-demand schedule via network), and trusted AI (to ensure traceability, trustworthiness, auditability and defensibility during AI process).  Relying on the ubiquitous network and computability, holistic artificial intelligence realizes flexible and efficient configuration, scheduling, training, and deployment of AI capabilities in an open environment, so as to meet the increasingly rich digital intelligent business needs while ensuring that AI business is trusted and controllable.

This Special Issue would like to highlight new and innovative work focused on holistic AI. We invite authors to present high-quality research work in one or more areas revolving around the current state of the art. This Special Issue intends to explore ‘Advances and Applications in Holistic Artificial Intelligence’, but is not restricted to big loop AI, atomized AI, network native AI, trusted AI, and its applications in specific domains like computer vision, natural language processing, speech, knowledge graph, data analysis, network intelligence, etc.

Dr. Junlan Feng
Prof. Dr. Guilin Qi
Guest Editors

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