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10 Key Questions of Intelligent Computing

It is hoped that releasing the demand will promote cooperation and contribute to the development of human society.

10 fundamental scientific questions about intelligent computing.

“Can machines think?” In his seminal paper “Computing Machinery and Intelligence” published in 1950, Alan Turing first addressed this seminal question. This launched a new field of artificial intelligence (AI), as well as people’s insatiable curiosity about computers and intelligence.

Human civilization has now entered a new age of intelligence. As computing has become more ubiquitous, society and each of us are deeply embedded in the network of universal computing and are reaping the benefits of intelligent computing. Major scientific discoveries and applications based on intelligent computing have emerged in many key areas, such as solving protein folding problems, discovering new antibiotics and medical imaging diagnostics using AI, thanks to the deep integration of machine intelligence, data and computational methods. The progress of civilization has been greatly aided by intelligent computers, and at the same time the demand for computers is skyrocketing.

In order to meet the ever-increasing demand for computers, a number of difficult issues must be solved. Computational speed is limited by traditional von Neumann architecture, computational methods are challenged by big data, computational power is limited by power consumption, and computational resource usage is limited by access technology… There are still many issues to be investigated and resolved, while sustainable solutions for the future must be found.

The Zhejiang Laboratory and Science have jointly raised fundamental scientific questions with an important guiding role for future research in intelligent computing. After a series of requests, shortlisting and evaluations, 10 questions deemed most in-depth and challenging were put forward by a panel of experts from around the world.

  1. How do we 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 computer science come from, and will
    quantum computing
    Perform calculations using quantum mechanical phenomena such as superposition and entanglement.

    ” data-gt-translate-attributes=”[{” attribute=””>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 can we use real-world data to discover and generalize knowledge?

The 10 fundamental scientific questions in the field of intelligent computing are presented here in the hope that they will enlighten researchers globally. It is expected that scholars and researchers will engage in lively discussions on these 10 scientific questions, jointly promote potential breakthroughs within the questions and technological advances, and contribute to the development of human society.

Reference: “10 fundamental scientific questions on intelligent computing” 14 October 2022, Science.

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