AI Research Trends in Vietnam 2025
Vietnam’s artificial intelligence landscape has been rapidly evolving, with significant developments across various sectors. This post explores the current trends and future directions of AI research in Vietnam.
Current State of AI in Vietnam
Academic Institutions
Several Vietnamese universities have established dedicated AI research centers:
- VNU University of Engineering and Technology - Computer Vision and NLP
- Ho Chi Minh City University of Technology - Machine Learning applications
- FPT University - Applied AI in industry
Industry Adoption
Vietnamese companies are increasingly adopting AI technologies:
- E-commerce: Recommendation systems and customer analytics
- Banking: Fraud detection and risk assessment
- Healthcare: Medical image analysis and diagnosis support
- Agriculture: Crop monitoring and yield prediction
Research Focus Areas
Natural Language Processing
Vietnamese NLP research focuses on:
- Language Models: Developing Vietnamese-specific language models
- Text Classification: Document categorization and sentiment analysis
- Machine Translation: Vietnamese ↔ English translation improvements
- Speech Recognition: Vietnamese speech-to-text systems
# Example: Vietnamese text preprocessing
import re
def preprocess_vietnamese_text(text):
# Remove extra whitespace
text = re.sub(r'\s+', ' ', text.strip())
# Normalize Vietnamese characters
# This is a simplified example
return text.lower()Computer Vision
Key areas of computer vision research include:
- Object Detection: Automated surveillance systems
- Medical Imaging: X-ray and MRI analysis
- Agricultural Vision: Crop disease detection
- Traffic Management: Smart city applications
Challenges and Opportunities
Challenges
- Data Availability: Limited high-quality Vietnamese datasets
- Computational Resources: Access to high-performance computing
- Talent Gap: Need for more AI specialists
- Industry-Academia Gap: Better collaboration needed
Opportunities
- Government Support: National AI strategy implementation
- International Partnerships: Collaborations with global institutions
- Startup Ecosystem: Growing AI startup community
- Digital Transformation: Increasing demand for AI solutions
Notable Research Projects
PhoBERT
A pre-trained language model for Vietnamese, achieving state-of-the-art performance on Vietnamese NLP tasks.
ViTextTalk
An advanced Vietnamese text-to-speech system with natural-sounding output.
VietMed AI
Medical AI applications for Vietnamese healthcare, including diagnosis assistance and drug discovery.
Future Directions
2025-2027 Roadmap
- Foundation Models: Developing large Vietnamese language models
- Multimodal AI: Combining text, speech, and vision for Vietnamese applications
- Edge AI: Deploying AI models on mobile and IoT devices
- Ethical AI: Establishing guidelines for responsible AI development
Research Priorities
- Conversational AI: Vietnamese chatbots and virtual assistants
- Scientific Computing: AI for materials science and drug discovery
- Climate AI: Environmental monitoring and prediction
- Educational AI: Personalized learning systems
Community and Resources
Open Source Projects
- VietAI: Community-driven AI research initiatives
- VnCoreNLP: Vietnamese natural language processing toolkit
- PhoNLP: Fast and lightweight Vietnamese NLP library
Conferences and Events
- Vietnam AI Summit: Annual conference on AI research and applications
- RIVF: Research, Innovation and Vision for the Future
- AI4VN: AI for Vietnam workshop series
Conclusion
Vietnam’s AI research ecosystem is experiencing rapid growth with strong potential for innovation. The combination of academic excellence, industry adoption, and government support creates a favorable environment for breakthrough research.
The focus on Vietnamese-specific AI challenges, such as language processing and cultural adaptation, positions Vietnam to make unique contributions to the global AI community.
About the Author: The Quatricmorph Research Team consists of AI researchers and practitioners from leading Vietnamese institutions and companies.
Tags: AI, research, Vietnam, trends, machine learning, NLP, computer vision
Published: September 27, 2025