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US Patent 11521074 Flexible, lightweight quantized deep neural networks

Patent 11521074 was granted and assigned to Carnegie Mellon University on December, 2022 by the United States Patent and Trademark Office.

Overview Structured Data Issues Contributors Activity

Is a

Patent

Current Assignee

Carnegie Mellon University

Date Filed

May 29, 2020

Date of Patent

December 6, 2022

Patent Applicant

Carnegie Mellon University

Patent Application Number

16887988

Patent Citations

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US Patent 10540591 Deep learning-based techniques for pre-training deep convolutional neural networks

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US Patent 10558915 Deep learning-based techniques for training deep convolutional neural networks

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US Patent 11188817 Methods and systems for converting weights of a deep neural network from a first number format to a second number format

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US Patent 11315016 Deep convolutional neural networks for variant classification

Patent Inventor Names

Diana Marculescu

Ting-Wu Chin

Zeye Liu

Ruizhou Ding

Ronald D. Blanton

Patent Jurisdiction

United States Patent and Trademark Office

Patent Number

11521074

Patent Primary Examiner

CPC Code

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