About BDNNDL 2026
Welcome to BDNNDL 2026！ The 3rd Symposium on Big Data, Neural Networks, and Deep Learning is coming to Chengdu. Mark your calendars for October 16-18, 2026, and be part of the conversation shaping the future of AI.
This conference will center on the latest advancements and emerging trends in computer vision, related algorithms, and practical applications. The 2026 3rd Symposium on Big Data, Neural Networks, and Deep Learning will be held from October 16-18 in Chengdu, aiming to provide a premier international platform for experts, scholars, researchers, and engineers from universities, research institutes, enterprises, and organizations worldwide. Through keynote speeches, parallel sessions, and interactive discussions, the event will facilitate face-to-face dialogue on innovative concepts and showcase state-of-the-art research outcomes. Participants will collaboratively explore key challenges and future directions in these fast-evolving disciplines, fostering the integration and innovative application of theories and technologies across academia and industry.
Important Dates
 | Full Paper Submission Date July 15, 2026 |  | Registration Deadline August 20, 2026 |
 | Final Paper Submission Date August 30, 2026 |  | Conference Dates October 16-18, 2026 |
Countdown
Conference Topics
Big data
Cloud computing Internet of Things
Artificial Intelligence
Machine learning
Data mining and intelligent decision-making
Network and information security
Communication anti-interference system
Electronic countermeasure system
Command automation system
Satellite remote sensing system and image processing
Video coding
Audio processing
Multimedia content analysis
Virtual reality and augmented reality
Information encoding and signal transmission
Speech and image processing
Multimedia communication technology
Signal processing, etc.
Neural Network
Convolutional Neural Network
Recurrent Neural Network
Application of Neural Network in Medical Image Analysis
Robot Control
Optimal Combination
Knowledge Engineering Artificial Intelligence
Logical programming design
Human-computer interaction
Signal processing
Information extraction
Natural language inference
Neural network structure, etc.
Deep Learning
Deep learning basic algorithms
Deep learning in computer vision
Combination of natural language processing and vision
Transfer learning
Domain adaptation
Reinforcement learning
Joint learning and privacy protection
Self-supervised and unsupervised learning
Interpretability of deep learning models
Edge computing
Intelligent environment perception
Automated computing
Language translation
Computer games
Image processing, etc.
Contact
Conference Secretary: Wendy
Tel: +86-18138788748(Wechat)
E-Mail: ic_bdnndl@163.com
If you have any questions or inquiries, please feel free to contact us.