Research partners

Our collaborations with world class research institutes are changing the future of humanity.


Tsinghua University

In partnership with Tsinghua University, we are working on topics related to graph neural networks (GNNs) and trying to build GNN-based systems for anomaly detection.

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Rice University

In partnership with Rice University, we propose a novel framework using neural architecture search (NAS) to automatically tune deep neural networks, with a goal of making deep learning models accessible to everyone.

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The University of Texas at Austin

The University of Texas at Austin and NetMind are working on several research projects that build efficient deep learning systems and frameworks, including efficient fine-tuning and efficient training.

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University of Cambridge Psychometrics Centre

We are collaborating with researchers at the University of Cambridge Psychometrics Centre on research projects focusing on the creativity in texts. Leveraging the recent development in natural language processing, we aim to develop automated linguistic creativity evaluation systems to meet the education and commercial needs.

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Huazhong University of Science and Technology

Huazhong University of Science and Technology and NetMind are working together on data/model privacy, security and adversarial learning. We are also aiming to build a reliable framework for training and inferencing deep learning models.

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Shanghai Jiao Tong University

We have collaborated with Shanghai Jiao Tong University on research topics in natural language processing, such as question answering and syntactic parsing. The goal is to build intelligent systems that can better understand structural and non-structural data.

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University of Wisconsin-Madison

We have collaborated with the University of Wisconsin-Madison on research topics in natural language processing and machine learning, such as machine translation and multilingual NLP. The goal is to build AGI systems that interact with people speaking different languages.

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Fudan University

NetMind and Fudan University researchers are using pretrained natural language models to predict RNA-protein interactions with far better results than current state-of-the-art models. Understanding these connections can facilitate the development of new therapies to treat a variety of diseases.

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