The odyssey to next-generation computers: cognitive computers (κC) inspired by the brain and powered by intelligent mathematics
Name
fcomp-05-1152592.pdf
Description
Published version
Size
4.03 MB
Format
Adobe PDF
Checksum (MD5)
8a852ee06563dc8ae47f27ba496f51e2
Author(s)
Wang, Yingxu
Widrow, Bernard
Hoare, CAR
Pedrycz, Witold
Berwick, Robert C
Plataniotis, Konstantinos N
Rudas, Imre J
Lu, Jianhua
Kacprzyk, Janusz
Date Issued
May 19, 2023
Journal
Frontiers in Computer Science
Publisher
Frontiers Media SA
Citation
Wang Y, Widrow B, Hoare CAR, Pedrycz W, Berwick RC, Plataniotis KN, Rudas IJ, Lu J and Kacprzyk J (2023) The odyssey to next-generation computers: cognitive computers (κC) inspired by the brain and powered by intelligent mathematics. Front. Comput. Sci. 5:1152592.
Version
Final published version
Abstract
Cognitive computers (κC) 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 κC empowered by transdisciplinary basic research and engineering advances. A wide range of fundamental theories and innovative technologies for κC is explored, and a set of underpinning intelligent mathematics (IM) is created. The architectures of κC for cognitive computing and Autonomous Intelligence Generation (AIG) are designed as a brain-inspired cognitive engine. Applications of κC in autonomous AI (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 κC toward training-free and self-inferencing computers.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3389/fcomp.2023.1152592
