The Zhejiang Lab and Science have actually jointly solicited essential scientific concerns with a considerable assisting function for the future research study of smart computing. After a series of solicitations, shortlisting, and evaluations, 10 concerns discovered to be most extensive and challenging were advanced by a panel of specialists from around the globe.
It is hoped that the release of the concern will promote cooperation and contribute to the development of human society.
10 basic scientific questions on smart computing.
“Can devices think?” In his ground-breaking paper “Computing Machinery and Intelligence” published in 1950, Alan Turing raised this epoch-making concern for the very first time. This released a new field of Artificial Intelligence (AI), as well as individualss insatiable interest about computers and intelligence.
Human civilization has now entered a brand-new period of intelligence. As computing has grown more pervasive, society and each people are deeply embedded in the network of universal computing and profit of smart computing. Substantial scientific discoveries and applications based upon intelligent computing have emerged in numerous essential areas, such as the solution of protein folding troubles, the discovery of new prescription antibiotics, and medical imaging diagnostics utilizing AI, thanks to the deep integration of machine intelligence, information, and calculating approaches. The advancement of civilization has been greatly aided by intelligent computing, and at the exact same time, the need for computing is skyrocketing.
A variety of hard problems require to be resolved in order to fulfill the continuously increasing demand for computing. Computational speed is limited by the traditional von Neumann architecture, computational methods are challenged by huge information, the computational power supply is restricted by energy consumption, and calculating resource use is limited by access technology … There are still many concerns that need to be checked out and solved, on the other hand, sustainable options should be found for the future.
The 10 essential scientific questions in the field of intelligent computing are presented here in the hope that they will inform researchers globally. It is anticipated that scholars and researchers will participate in vibrant discussions on these 10 scientific concerns, jointly promote potential developments within the questions and technological advances, and contribute to the advancement of human society.
Recommendation: “10 fundamental scientific concerns on intelligent computing” 14 October 2022, Science.
How do we define intelligence and establish the evaluation and standardization structure for smart computing?
Exists a combined theory for analog computing?
Where will the major developments in computing come from, and will quantum computing technique the computational power of the human brain?
What brand-new devices will be built (transistors, chip style, and hardware paradigms: photonics, spintronics, biomolecules, carbon nanotubes)?
How could smart computing enable intelligent devices?
How can we comprehend the storage and retrieval of memory based on the digital twin brain?
What is the most effective course to assemble silicon-based and carbon-based learning?
How to build effective and interpretable AI algorithms?
Can strong smart computing with functions of self-learning, self-reflection, and evolvability be understood?
How can we utilize real-world information to find and generalize understanding?
In his ground-breaking paper “Computing Machinery and Intelligence” released in 1950, Alan Turing raised this epoch-making concern for the very first time. As computing has grown more pervasive, society and every one of us are deeply embedded in the network of universal computing and gain the benefits of smart computing. Significant clinical discoveries and applications based on smart computing have actually emerged in many important areas, such as the solution of protein folding troubles, the discovery of new antibiotics, and medical imaging diagnostics making use of AI, thanks to the deep integration of machine intelligence, data, and calculating methods. The development of civilization has been significantly helped by intelligent computing, and at the very same time, the need for computing is increasing.