专题征稿 | Theory and Applications of Datatic Learning

Machine Intelligence Research

MIR专题"Theory and Applications of Datatic Learning"现公开征集原创稿件，截稿日期为2026年6月1日。欢迎赐稿！

Advances in sensing, computation, and machine learning are reshaping the landscape of modern intelligent systems. Datatic methods-ranging from system identification and model-based planning to reinforcement learning and adaptive decision-making-are enabling intelligent systems to learn from experience, operate in uncertain environments, and achieve levels of autonomy that were previously unattainable.

To highlight recent developments and stimulate further research in this rapidly evolving field, we invite submissions to the Special Issue on Theory and Applications of Datatic Learning. This special issue aims to bring together high-quality contributions that explore new theoretical insights, algorithmic innovations, and real-world applications of learning-enabled and data-centric methodologies.

We encourage scholars to submit contributions related to the theory and applications of datatic learning including, but not limited to:

• Foundations and guarantees of datatic learning 

• Datatic learning for foundation models 

• Safe and uncertainty-aware datatic learning 

• Multi-agent datatic learning 

• Human-in-the-loop datatic learning 

• Datatic filtering /perception /prediction /decision-making

• Datatic learning for embodied AI 

• Datatic learning for Intelligent vehicles

1) 截稿日期：2026年6月1日

2) 投稿地址（已开通）：

https://mc03.manuscriptcentral.com/mir

投稿时，请在系统中选择：

“Step 6 Details & Comments: Special Issue on Theory and Applications of Datatic Learning".

3) 投稿及同行评议指南:

Full length manuscripts and peer reviewing will follow the MIR guidelines. For details: https://www.springer.com/journal/11633

咨询邮箱：mir@ia.ac.cn

Prof. Chang Liu, Peking University, China 

E-mail: changliucoe@pku.edu.cn 

Prof. Shengbo Eben Li, Tsinghua University, China

E-mail: lishbo@tsinghua.edu.cn 

Prof. Yang Shi, University of Victoria, Canada 

E-mail: yshi@uvic.ca 

Prof. Angelo Alessandri, University of Genoa, Italy

E-mail: Angelo.Alessandri@unige.it