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Transforming Machine Learning

QGNai has developed a novel machine learning platform, RG Categorifier™ (RGC), to significantly improve the learning and decision-making of machines. 

 

RGC learns hidden relationships in the data (e.g., image, text, bio sequence, etc.) through a hierarchical structure resulting in deeper learning than state-of-the-art.

The platform uses a proprietary recursive dimensional reduction technology to coarse-grain initial datasets to discover their underlying dominant features at all levels. The invertibility of the architecture allows fine-tuning coarse-grain data to generate new datasets based on latent variables. RGC's bidirectional generative design enables efficient classification, clustering, and explainability.

 

RG Flow has broad applications in natural language processing, biomedical research, cybersecurity, and robotics. 
 

 
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TEAM

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Marco Farsheed

Cofounder & CEO

Cofounder & CEO; Serial Entrepreneur; MBA, Harvard University

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Artan Sheshmani

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Cofounder & Chief Scientific Officer

Associate Professor of Mathematics, Center for Quantum Geometry of Moduli Spaces, Harvard University CMSA and Inst for Mathematic AU; Ph.D. in Mathematics, University of Illinois at Urbana-Champaign

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Yizhuang You

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Cofounder & Chief Technology Officer

Assistant Professor of Physics, UCSD; Ph.D., Condensed Matter Physics, Tsinghua University

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Wenbo Fu

Machine Learning Scientist

Ph.D., Physics, Harvard University

ADVISORS
 

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Reza Azizi

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Advisor

Ph.D., Physics & M.S., Computer Science, Virginia Tech

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Mehrtash Babadi

Advisor

Associate Director of Machine Learning, Broad Institute; Ph.D., Physics, Harvard University

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Mahmoud Ghandi

Advisor

Director of Computational Biology, Monte Rosa Therapeutics; Ph.D., Biomedical Engineering, Johns Hopkins University School of Medicine

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Mehrad Tavallai

Advisor

Medical Science Liaison, Oncology, Natera, Ph.D., Biochemistry, Virginia Commonwealth University

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Get in touch

We'd love to hear from you. Use the form below or send us an email at info@qgnai.com

Thanks, we'll be in touch.

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