Artificial Intelligence (AI) has emerged as a captivating topic in modern academic and scientific circles. As a particularly novel research direction, it consistently generates groundbreaking studies and inventions related to artificial intelligence and computing. Furthermore, AI finds extensive applications across diverse fields, encompassing robotics, decision-making, control systems, simulation applications, and numerous other domains.

The 2026 6th International Conference on Artificial Intelligence and Industrial Technology Applications (AIITA 2026) is scheduled to take place in Chongqing, China, from April 10 to 12, 2026. This conference aims to serve as a platform for exploring and discussing innovative ideas and remarkable achievements in AI and computer applications, bridging the gap between theoretical research and practical applications. AIITA warmly welcomes authors to submit their articles highlighting ongoing research results, projects, surveys, and industrial experiences that showcase significant advancements in all related areas.

Publication

All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published by IEEE (ISBN: 979-8-3315-6113-0 ) and submit to EI Compendex and Scopus for indexing.

— Call For Papers —

I. Sub-Forum: Industrial Intelligent Computing Technologies and Applications

Pooling and Cooperative Scheduling Technologies for Industrial Heterogeneous Computing Resources
Cloud-Edge-Device Collaboration Technologies for Industrial Artificial Intelligence Computing
Edge Intelligence and Lightweight Computing Technologies for Industrial Applications
Energy-Efficient Scheduling and Green Computing Technologies for Industrial AI Computing
Low-Latency Networking Technologies for Industrial Edge Devices
QoS Evaluation Methods for Industrial Artificial Intelligence Computing

II. Sub-Forum: Industrial Data Engineering Technologies and Applications

Big Data Acquisition and Cleansing
Data Annotation Tools and Techniques
Data Lifecycle Management
Metadata Management and Standardization
Data Privacy and Compliance Management
Data Conflict and Redundancy Resolution
Data Integration and Interoperability
Automated Data Processing Technologies
Management and Storage of Complex Datasets

III. Sub-Forum: Research and Application of High-Quality Industrial Datasets

Dataset Generation and Augmentation Techniques
Dataset Evaluation and Inspection
Dataset Security and Privacy Protection Techniques
Dataset Quality Control
Intelligent Dataset Construction Techniques

 IV. Sub-Forum: Industrial Data Intelligence Technologies and Applications

Intelligent Control Algorithms
Machine Learning for Industrial Process Optimization
AI Algorithms for Production Scheduling Optimization
Model Predictive Control and Machine Learning
Embedded Systems Development for Automated Facilities
Deep Learning Algorithms and Industrial Image Analysis
Nonlinear Control and Neural Network Approaches
AI Model Optimization
Intelligent Predictive Anomaly Detection
Adaptive Control System Design

V. Sub-Forum: Industrial Intelligent Security Technologies and Applications

Control Systems and Cybersecurity
Blockchain-based Production Traceability Systems
Data Security and Privacy Protection Techniques
Security Enhancement Measures for Control Systems
IoT Device Security Management
AI for Industrial Safety Monitoring
Security-Enhanced Sensor Network Technologies
Security Protocol Design for Industrial Applications
Real-Time Threat Detection and Response Technologies
Predictive Analytics for Security Incidents