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Frontier Advancement in 10 Fundamental Scientific Questions on Intelligent Computing

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Scope

Intelligent computing is a general framework and paradigm covering new theoretical methods, architecture systems, and technical capabilities that support the digital revolution in the emerging era of the Intelligent Internet of Everything. Its advent raises a myriad of issues from the basic (privacy rights) to the esoteric (human vs. machine). In 2022, the Zhejiang Lab and Science have jointly solicited fundamental scientific questions with great significance for the future of intelligent computing. The 10 questions, found to be most profound and challenging, were put forward by a panel of experts from around the world.

This special issue focuses on the subject of the above 10 fundamental scientific questions on intelligent computing and aims to bring together and disseminate the latest advances in the solutions to these challenging problems, include discoveries, theories, software, hardware, and algorithms.

Topics of Interest
This special issue solicits original research as well as review articles. Topics of interest include, but are not limited to:

  1. How to define intelligence and establish the evaluation and standardization framework for intelligent computing?
  2. Is there a unified theory for analog computing?
  3. Where will the major innovations in computing come from, and will quantum computing approach the computational power of the human brain?
  4. What new devices will be built (transistors, chip design, and hardware paradigms: photonics, spintronics, biomolecules, carbon nanotubes)?
  5. How could intelligent computing enable intelligent machines?
  6. How can we understand the storage and retrieval of memory based on the digital twin brain?
  7. What is the most efficient path to converge silicon-based and carbon-based learning?
  8. How to build interpretable and efficient AI algorithms?
  9. Can strong intelligent computing with features of self-learning, evolvability, and self-reflection be realized?
  10. How to use real-world data to discover and generalize knowledge?

Guest Editors

Huaimin Wang, National University of Defense Technology, China

Edwin R. Hancock, University of York, United Kingdom

F. Richard Yu, Carleton University, Canada

Junchi Yan, Shanghai Jiao Tong University, China

Sheng Jiang, Zhejiang Lab, China

Submission Instructions

Please indicate in your cover letter that your submission is intended for inclusion in the special issue.

Submission Deadline: July 15, 2023

SPJ/CustomPages/SpecialIssues/ICOMP/1000X1~1

Table of Contents

Articles will appear here as they are published.