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Explainable-AI Image Recognition achieves major AI breakthroughs in Abstraction and Generalization of Concepts and Multi-Modal AI

Explainable-AI Image Recognition achieves major AI breakthroughs in Abstraction and Generalization of Concepts and Multi-Modal AI
By EnNews Staff

POTOMAC, Md., July 12, 2024 /PRNewswire/ — Z Advanced Computing, Inc. (ZAC), the pioneer Cognitive Explainable-AI (Artificial Intelligence) (Cognitive XAI or CXAI) software startup, has developed and demonstrated “Locator” for detecting of a complex 3D object from any view angle for US Air Force (USAF), with less than 10 training samples based on Concept-Learning, which is a major AI and Machine Learning (ML) breakthrough. In addition, ZAC Engine could Abstract the Concept of the object in a first domain or mode (e.g., in visible-light spectrum), and later could find the same object in another domain or mode (e.g., in Infra-Red (IR) spectrum), in still image or video frame, with no additional (zero) training samples, which is another major AI/ ML breakthrough for Generalization of the Concept of the object and Multi-Modal AI/ ML for learning and recognition.