Examining the state of the art

An overview of intelligent computing based on the fusion of human social space, physical space and information space. Credit: Intelligent Computing (2023). DOI: 10.34133/computing.0006

Human society is at the point of transforming from an information society to an intelligent society, where optimized computing can autonomously solve practical real-world problems. Critically, this transition depends on the continued development of advanced computing theories and algorithms that impart varying degrees of intelligence to computer systems through autonomous perception, information gathering, analysis, and reasoning – functions once reserved only for living organisms.

Many of the world’s top computer science experts recently completed the first comprehensive literature survey of the field of intelligent computing, a relatively new discipline dedicated to solving complex problems using artificial intelligence (AI). The magazine focuses not only on the theory of intelligent computing, but also on the fusion of intelligence and computer science and its potential real-world applications.

An international team led by Shiqiang Zhu, a professor at the Zhejiang Lab in Hangzhou, China, published the review paper in the journal. Intelligent Computing on January 3 to serve as a timely reference for researchers and practitioners and foster further technological and theoretical innovations in the field.

Smart computing will eventually transition human society from information to the era of intelligence, where advanced computing will facilitate breakthroughs scientific knowledge and humanity’s transition into a digital and sustainable society.

“Intelligent computing aims at computing tasks with minimum cost depending on the specification [task requirements]match the appropriate computing power, invoke the best algorithm and achieve optimal results,” say the authors. “Their ultimate goal is to provide universal, efficient, secure, autonomous, reliable and transparent computing services to support the tasks of complex and large-scale computing. ”

“Various intelligent methods and high-performance computational architectures have been developed independently for years,” the authors said. “The biggest obstacle to intelligent computing is … the merging of intelligence skills and computing capabilities and the paradigm innovation of ‘computing by intelligence’ and ‘computing for intelligence.’

More specifically, AI it uses deep learning, or learning for example, faces major obstacles in interpretability, generality, evolution and autonomy before being able to obtain a stronger position in society. Most current AI technologies are not as dynamic or integrative as human intelligence and are only able to perform very specialized tasks.

“There are also great theorists and technical challenges to upgrading data-driven intelligence to a more diverse form of intelligence, including perceptual intelligence, cognitive intelligence, autonomous intelligence, and human-machine fusion intelligence, to name a few “, the authors said.

Researchers need to further explore the fundamentals of human intelligence to better simulate more diverse forms of intelligence through computing. Knowledge, and the way it is created, stored and retrieved must also be better understood in order to develop more flexible systems that can accommodate data and models that, ultimately, lead to self-learning systems capable of independently perceiving the environment

Incredibly, the amount of computing capacity needed to power AI applications doubles every 100 days and is expected to more than a million times over the next five years. Digitizing existing processes requires an enormous amount of computational power, and keeping pace with increasing volume requirements will be an ongoing challenge. Software and hardware must also be designed in parallel to move toward more human-like data processing and facilitate these forms of non-linear, large-scale computing.

Despite these obstacles, the field of intelligent computing is at the cutting edge of the ever-changing human society. “[Intelligent computing] provide universal, efficient, secure, autonomous, reliable and transparent computing services to support large-scale and complex computing tasks in today’s smart society,” the authors said.

These researchers and others around the world are developing the new theoretical computer methods, architecture systems and technical capabilities that will usher in an era of digital civilization and interconnect the whole world.

More information:
Shiqiang Zhu et al, Intelligent Computing: Recent Advances, Challenges and Future, Intelligent Computing (2023). DOI: 10.34133/computing.0006

Provided by Intelligent Computing

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