Invention Grant
- Patent Title: Memoryless weight storage hardware for neural networks
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Application No.: US15884001Application Date: 2018-01-30
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Publication No.: US11783160B2Publication Date: 2023-10-10
- Inventor: Phil Knag , Gregory Kengho Chen , Raghavan Kumar , Huseyin Ekin Sumbul , Ram Kumar Krishnamurthy
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: HANLEY, FLIGHT & ZIMMERMAN, LLC
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06N3/063 ; G06N3/08 ; G06N3/044 ; G06F7/58

Abstract:
Various systems, devices, and methods for operating on a data sequence. A system includes a set of circuits that form an input layer to receive a data sequence; first hardware computing units to transform the data sequence, the first hardware computing units connected using a set of randomly selected weights, a first hardware computing unit to: receive an input from a second hardware computing unit, determine a weight of a connection between the first and second hardware computing units using an identifier of the second hardware computing unit and a fixed random weight generator, and operate on the input using the weight to determine a state of the first hardware computing unit; and second hardware computing units to operate on states of the first computing units to generate an output based on the data sequence.
Public/Granted literature
- US20190042913A1 MEMORYLESS WEIGHT STORAGE HARDWARE FOR NEURAL NETWORKS Public/Granted day:2019-02-07
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