- 专利标题： Machine learning system utilizing magnetization susceptibility adjustments
-
申请号： US16238847申请日： 2019-01-03
-
公开(公告)号： US11593636B1公开(公告)日： 2023-02-28
- 发明人: Kirill A. Rivkin , Javier Guzman , Mourad Benakli
- 申请人： Seagate Technology LLC
- 申请人地址： US CA Cupertino
- 专利权人： Seagate Technology LLC
- 当前专利权人： Seagate Technology LLC
- 当前专利权人地址： US CA Cupertino
- 代理机构： Westman, Champlin & Koehler, P.A.
- 主分类号： G06N3/08
- IPC分类号： G06N3/08 ; G06N3/063 ; G01R33/12 ; G01R33/16 ; H01F10/32
摘要：
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.
信息查询
