Information on AAIR Journal
On July 24, 2025, the new journal in the field of artificial intelligence,Applied Artificial Intelligence Research (abbreviated as AAIR), was officially launched. Its official WeChat account is INNOVIAIR, and it is published by China Science and Technology Development Press with an ISSN of 3105-0379. The journal is in English and published quarterly, with the first issue being Volume 1, Issue 1 in July 2025. Guided by the mission of "Driving Theoretical Breakthroughs × Accelerating Industrial Integration", AAIR aims to build a high-end platform that combines academic rigor with application foresight. It serves scholars, researchers, and industry experts worldwide, promoting the development of AI theories and technologies as well as their in-depth integrated application across multiple fields.
I. Information on Journal Editors-in-Chief
1. Maxim V. Fedorov: Acting Director of the Kharakiewicz Institute for Information Transmission Problems of the Russian Academy of Sciences. He also serves as a researcher at the Skolkovo Institute of Science and Technology (Russia) and the Max Planck Institute.
2. Researcher Qiu Feng: Researcher and Master's Supervisor at the Hangzhou Advanced Research Institute of the University of Chinese Academy of Sciences, Distinguished Researcher at Pengcheng National Laboratory, and Vice President of the Electronic Information Branch of Zhejiang Overseas High-Level Talents Association. He has long been engaged in research on high-performance photonic devices, chips, and novel electro-optical materials, published over 50 papers in journals such asNature Communications, delivered invited reports at international conferences like OFC on multiple occasions, and maintained long-term strategic cooperation with enterprises including Huawei and Tencent.
II. Journal Positioning and Section Division
AAIR is an international journal focusing on cutting-edge research and innovative practices in the AI field. Its sections are divided as follows:
1. Core Research Sections
• Machine Learning and Deep Learning: Covers supervised/unsupervised/reinforcement learning, with a focus on model interpretability and robustness research.
• Natural Language Processing (NLP): Focuses on text understanding and generation, as well as pre-trained models (e.g., BERT/GPT).
• Computer Vision (CV): Includes object detection, image segmentation, etc., with cross-application in autonomous driving and industrial quality inspection.
• Intelligent Robotics and Autonomous Systems: Covers robot perception and control, multi-agent collaboration, etc.
• AI and Data Science: Includes data mining, knowledge graph construction, etc., with case directions in financial risk control and social network analysis.
• AI + Vertical Field Integration: Covers smart healthcare (e.g., medical image diagnosis), Industry 4.0 (e.g., smart manufacturing), and smart cities (e.g., traffic scheduling).
2. Cutting-Edge and Ethics Sections
• Trustworthy and Responsible AI: Includes algorithmic fairness, privacy protection, etc., with a focus on the adaptability of AI policies and laws.
• Emerging Technology Exploration: Covers brain-inspired computing, quantum machine learning, and innovative applications of generative AI (AIGC).
3. Supporting Columns
• Reviews and Progress: Features annual reviews of the field and reviews of major breakthroughs, written by top scholars (by invitation).
• Case Studies and Technical Reports: Includes industry implementation cases, open-source tool evaluations, etc., highlighting practical value.
III. Application Fields and Value
|
Field |
Typical Application Scenarios |
Value Description |
|
Smart Healthcare |
AI-assisted diagnosis, drug molecule generation, etc. |
Shorten the disease diagnosis path and improve treatment accuracy. |
|
Industry 4.0 |
Digital twin factories, predictive maintenance systems, etc. |
Reduce equipment downtime losses and achieve zero-defect manufacturing. |
|
Sustainable Cities |
Real-time traffic flow regulation, AI-based building energy consumption optimization, etc. |
Improve resource utilization efficiency and enhance urban resilience. |
|
FinTech |
Anti-fraud in high-frequency trading, dynamic credit risk assessment, etc. |
Ensure the security of trillion-level funds and promote inclusive finance. |
|
Creative Industry |
Generative art creation, AI-based cultural heritage restoration, etc. |
Expand the boundaries of artistic expression and activate digital cultural assets. |
IV. Core Highlights of the Journal
1. Comprehensive Field Coverage: Covers core AI research directions, balances basic theories and application practices, and emphasizes interdisciplinary integration (e.g., AI with mathematics, biology).
2. Top-Tier Editorial and Review Team: Composed of internationally renowned scholars and industry experts, adhering to rigorous, fair, and open review principles.
3. Emphasis on Application and Interdisciplinarity: Specially sets up the "Vertical Field Integration" section, requiring research to be rooted in real scenarios; integrates interdisciplinary insights from bioinformatics, social sciences, etc.
4. Balancing Cutting-Edge and Ethics: The "Emerging Technology" section focuses on disruptive innovations such as quantum machine learning, while the "Trustworthy AI" section addresses technological risks, building a synergistic evolution ecosystem.
V. Call for Papers
1. Submission Time: Accepted throughout the year (no time restrictions).
2. Submission Language: English.
3. Author Eligibility: Undergraduates, master’s students, doctoral students, and university teachers are all eligible to submit.
4. Publication Cycle: Sample manuscripts will be provided within one week after acceptance.
5. Format and Submission:
◦ Manuscripts must be in English, with a word count of 5,000–8,000 words.
◦ Send manuscripts to the email address: editorialoffice@innoviair.cn. The email subject should be "Author Name + Manuscript Title".
◦ Clearly indicate the names of authors (including the corresponding author), correspondence address, postal code, email address, and phone number.
VI. Call for Editorial Board Members
AAIR has established a Young Editorial Board and sincerely invites experts and scholars in the AI field to serve as young editorial board members/reviewers for a one-year term.
1. Responsibilities: Participate in manuscript review, planning of special topic manuscript collection, and organization of academic activities; recommend excellent reviewers and high-quality manuscripts.
2. Benefits: Receive remuneration and honors based on review workload; obtain an official appointment letter, with resumes displayed on the journal's official website; those who make outstanding contributions will be prioritized for promotion to regular editorial board members; enjoy partial page fee reduction or exemption and fast-track processing for their own manuscripts or recommended manuscripts.
3. Application Method: Send academic resumes and statements of research fields to the above-mentioned email address, with the email subject marked "Application for Editorial Board Member".
AAIR aims to become an authoritative academic journal in the AI field, helping researchers share knowledge, exchange ideas, and promote in-depth industry-academia-research cooperation. It looks forward to practitioners in both theoretical and application fields working together to explore the boundless possibilities of AI.
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