Invention Grant
- Patent Title: Random matrix hardware for machine learning
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Application No.: US15836098Application Date: 2017-12-08
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Publication No.: US11494655B2Publication Date: 2022-11-08
- Inventor: Xiao Sun , Youngseok Kim , Chun-Chen Yeh
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Tutunjian & Bitetto, P.C.
- Agent Robert Sullivan
- Main IPC: G06F15/80
- IPC: G06F15/80 ; G06F7/58 ; G06K9/62 ; G06F17/16 ; G06N3/08 ; G06V10/94

Abstract:
A computer-implemented method for training a random matrix network is presented. The method includes initializing a random matrix, inputting a plurality of first vectors into the random matrix, and outputting a plurality of second vectors from the random matrix to be fed back into the random matrix for training. The random matrix can include a plurality of two-terminal devices or a plurality of three-terminal devices or a film-based device.
Public/Granted literature
- US20190180185A1 RANDOM MATRIX HARDWARE FOR MACHINE LEARNING Public/Granted day:2019-06-13
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