20
th

Rank Global AI Research Companies by Thundermark Capital

66

Global Filed patents

130
+
Top-tier papers
2

Granted patents in the US

Established in 2019, VinAI is a global top 20 AI research-based company with a myriad of practical research projects. VinAl represents one of the highest concentrations of Al expertise in the region. Our research aims to advance fundamentals in machine learning, deep learning, and to investigate how they enable new Al methods in computer vision and natural language understanding. The goal for the research group is to conduct world-class breakthrough research in Al, demonstrated by our list of top-tier publications and patents

Our research

Generative AI and LLMs

VinAI is proud to be at the forefront of the Generative AI and LLMs revolution. We are constantly innovative with cutting-edge Research and Development in this space.

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Machine Learning

We study the research on the young mathematics field of optimal transport for AI, self-supervised learning, and domain adaptation.

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Natural Language Processing

We are the creator of the number one Vietnamese machine translation system and many foundation models such as PhoBERT for the Vietnamese language as well as XPhoneBERT for other low-resource languages.

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Computer Vision

We investigate 3D vision, robust AI, few-shot problems, image restoration, and enhancements.

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Do not miss these Seminars & Workshops

Coming soon
Niranjan Balasubramanian

Stony Brook University

Towards Reliable Multi-step Reasoning in Question Answering
Fri, Nov 03 2023 - 10:00 am (GMT + 7)
Jey Han Lau

University of Melbourne

Rumour and Disinformation Detection in Online Conversations
Thu, Sep 14 2023 - 10:00 am (GMT + 7)
Tan Nguyen

National University of Singapore

Principled Frameworks for Designing Deep Learning Models: Efficiency, Robustness, and Expressivity
Mon, Aug 28 2023 - 10:00 am (GMT + 7)
Domain Adaptation on Wheels: Closing the Gap to the Open-world
Tue, Jul 25 2023 - 03:00 pm (GMT + 7)
Wang Hao

Nanyang Technological University

Innovations in Text-Guided Visual Content Generation
Mon, Jul 17 2023 - 11:00 am (GMT + 7)

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