NetMind.AI offers computing resources, technical support and funding options to AI companies seeking to develop applications and technologies on the NetMind platform.
ProtagoLabs aims to leverage the power of leading edge machine learning research, technology and big data to establish human-like machine perception system and achieve safe artificial general intelligence (AGI).Learn more
We aim to disrupt the status quo and set a new standard for the future of graphics technology through the utilization of state-of-the-art artificial intelligence technology.Learn more
We help organizations accelerate their time-to-insight with a complete, end-to-end data science platform that lets them use the full power of AI to find insights faster than ever before.Learn more
The Future of Clean Flight. Qdot’s hybrid-electric propulsion systems improve aircraft safety, efficiency, and performance – with zero carbon emissions.Learn more
Our products provide early warning indicators via an intuitive online dashboard, rapidly mining news feeds and unstructured data at speed and scale to highlight risk probability based on your search parameters.Learn more
Our collaborations with world class research institutes are changing the future of humanity.
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.Learn more
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.Learn more
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.Learn more
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.Learn more
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.Learn more
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.Learn more
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.Learn more
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.Learn more