The odyssey to next-generation computers: cognitive computers (κC) inspired by the brain and powered by intelligent mathematics

Yingxu Wang, Bernard Widrow, C. A. R. Hoare, Witold Pedrycz, Robert C. Berwick, Konstantinos N. Plataniotis, Imre J. Rudas, Jianhua Lu, Janusz Kacprzyk

Abstract: p><italic>Cognitive computers</italic> (κ<italic>C</italic>) are intelligent processors advanced from data and information processing to autonomous knowledge learning and intelligence generation. This work presents a retrospective and prospective review of the odyssey toward κ<italic>C</italic> empowered by transdisciplinary basic research and engineering advances. A wide range of fundamental theories and innovative technologies for κ<italic>C</italic> is explored, and a set of underpinning <italic>intelligent mathematics</italic> (IM) is created. The architectures of κ<italic>C</italic> for cognitive computing and <italic>Autonomous Intelligence Generation</italic> (AIG) are designed as a brain-inspired cognitive engine. Applications of κ<italic>C</italic> in <italic>autonomous AI</italic> (AAI) are demonstrated by pilot projects. This work reveals that AIG will no longer be a privilege restricted only to humans via the odyssey to κ<italic>C</italic> toward training-free and self-inferencing computers.</p>