Invention Grant
- Patent Title: Machine learning system utilizing magnetization susceptibility adjustments
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Application No.: US16238847Application Date: 2019-01-03
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Publication No.: US11593636B1Publication Date: 2023-02-28
- Inventor: Kirill A. Rivkin , Javier Guzman , Mourad Benakli
- Applicant: Seagate Technology LLC
- Applicant Address: US CA Cupertino
- Assignee: Seagate Technology LLC
- Current Assignee: Seagate Technology LLC
- Current Assignee Address: US CA Cupertino
- Agency: Westman, Champlin & Koehler, P.A.
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/063 ; G01R33/12 ; G01R33/16 ; H01F10/32

Abstract:
A machine learning system and method. The machine learning system includes at least one computation circuit that performs a weighted summation of incoming signals and provides a resulting signal. The weighted summation is carried out at least in part by a magnetic element in which weights are adjusted based on changes in effective magnetic susceptibility of the magnetic element.
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