It is my great pleasure and excitement to announce the launch of a new journal, Cybernetics and Intelligence, which will publish original, high-quality, peer-reviewed research papers and review articles on cutting-edge breakthroughs and insightful discoveries in cybernetics and intelligence.

The connection between cybernetics and intelligence dates back to the 1940s when Norbert Wiener coined the term “cybernetics” to discuss the similarity between brain and computers, leading to the birth of modern automation and the beginning of machine intelligence. With the rapid advancement of artificial intelligence, computing, and sensing technologies, the interplay between cybernetics and intelligence has become increasingly important, bringing significant opportunities for new theories, algorithms, and applications.

Cybernetics and Intelligence is an ideal vehicle in which to publish and disseminate relevant research findings, and in which to exchange novel research ideas and significant practical results in both the theoretical foundations and practical applications of cybernetics and intelligence. We further hope this new journal will stimulate cross-disciplinary research that bridges automation, control, artificial intelligence, and system engineering. The journal's scope includes but is not limited to:

● Models, theories, and algorithms in system engineering

● Machine intelligence

● Reinforcement learning

● Pattern recognition

● Smart buildings

● Smart grid

● Industry

● Autonomous vehicles

● Brain-inspired computing

● Sensing and instrumentation

● Automatic control

● Digital twins

● Cybersecurity

The journal will be published quarterly. This first issue comprises 6 invited papers, including 5 review articles and 1 original research article. The topics of these papers cover a wide spectrum of research areas in cybernetics and intelligence, ranging from system safety assessment, machine intelligence and large language model reasoning, computationally efficient deep learning, and bioinformatics-driven causal modeling, to AI-enabled industrial process monitoring and quantum feedback control theory.

I would like to take this opportunity to thank the Executive Editor-in-Chief, Qing-Shan Jia, for his great efforts in launching this new journal. I would also like to thank the Editorial Board Members and Advisory Committee for their assistance and support.

Tao Zhang

Department of Automation

Tsinghua University, China