20
th

Rank Global AI Research Companies by Thundermark Capital

69

Filed Patents Globally

160
+
Top-tier papers
2

Patents granted in the US and Vietnam

Established in 2019, VinAI is a global top 20 AI research-based company with a myriad of practical research projects and represents one of the highest concentrations of Al expertise in the region. Our research focuses on advancing machine learning and deep learning fundamentals and investigating 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, as evident in our list of top-tier publications and patents.

Our research

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.

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

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

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

Do not miss these Seminars & Workshops

Peter Bartlett

University of California

Benign Overfitting
Tue, Nov 12 2019 - 10:00 am (GMT + 7)

Stefano Ermon

Stanford University

Learning with Limited Supervision
Fri, Aug 16 2019 - 10:00 am (GMT + 7)

Wray Buntine

Monash University

A View in Old & New Machine Learning
Sat, Aug 3 2019 - 09:30 am (GMT + 7)

Tim Baldwin

Mohamed bin Zayed University of Artificial Intelligence, University of Melbourne

LLMs FTW
Tue, Jan 9 2024 - 10:30 am (GMT + 7)

Long Nguyen

University of Michigan

Parameter Estimation & Interpretability in Bayesian Mixture Models
Wed, Aug 28 2019 - 10:00 am (GMT + 7)

Marco Cuturi

Google Brain

Supervised Quantile Normalization for Matrix Factorization using Optimal Transport
Fri, Oct 16 2020 - 02:30 pm (GMT + 7)

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