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US Patent 10789734 Method and device for data quantization
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Patent
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Date Filed
August 10, 2017
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Date of Patent
September 29, 2020
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Patent Application Number
15673758
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Patent Citations
US Patent 10417525 Object recognition with reduced neural network weight precision
Patent Citations Received
US Patent 11874900 Cluster interlayer safety mechanism in an artificial neural network processor
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US Patent 11461615 System and method of memory access of multi-dimensional data
US Patent 11514291 Neural network processing element incorporating compute and local memory elements
US Patent 11544545 Structured activation based sparsity in an artificial neural network
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US Patent 11551028 Structured weight based sparsity in an artificial neural network
US Patent 11803734 Adaptive quantization for neural networks
US Patent 11373087 Method and apparatus for generating fixed-point type neural network
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US Patent 11461614 Data driven quantization optimization of weights and input data in an artificial neural network
US Patent 11263077 Neural network intermediate results safety mechanism in an artificial neural network processor
US Patent 11263512 Neural network processor incorporating separate control and data fabric
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Patent Jurisdiction
United States Patent and Trademark Office
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Patent Number
10789734
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Patent Primary Examiner
Michael D. Yaary
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