公开(公告)号：WO2015034640A3

公开(公告)日：2015-05-14

申请号：PCT/US2014051044

申请日：2014-08-14

Applicant: QUALCOMM INC

Inventor： CANOY MICHAEL-DAVID NAKAYOSHI ,  BELL II WILLIAM RICHARD ,  KINTADA RAMAKRISHNA ,  RANGAN VENKAT

IPC: G06N3/04 ,  G06F11/30 ,  G06F11/36 ,  G06N3/06 ,  G06N3/08 ,  G06N3/10

CPC classification number: G06N3/10 ,  G06F11/302 ,  G06F11/3636 ,  G06N3/049 ,  G06N3/08

Abstract: Methods and apparatus are provided for using a breakpoint determination unit to examine an artificial nervous system. One example method generally includes operating at least a portion of the artificial nervous system; using the breakpoint determination unit to detect that a condition exists based at least in part on monitoring one or more components in the artificial nervous system; and at least one of suspending, examining, modifying, or flagging the operation of the at least the portion of the artificial nervous system, based at least in part on the detection.

Abstract translation: 提供了使用断点确定单元检查人造神经系统的方法和设备。 一个示例性方法通常包括操作人造神经系统的至少一部分; 使用所述断点确定单元至少部分地基于监测所述人造神经系统中的一个或多个组件来检测所述条件存在; 以及至少部分基于所述检测来暂停，检查，修改或标记所述人造神经系统的所述至少一部分的操作中的至少一者。

公开(公告)号：WO2015148210A3

公开(公告)日：2016-02-04

申请号：PCT/US2015021240

申请日：2015-03-18

Applicant: QUALCOMM INC

Inventor： GUPTA VIKRAM ,  GIBSON SARAH PAIGE ,  LEVIN JEFFREY ALEXANDER ,  PATWARDHAN RAVINDRA MANOHAR ,  CHAKRABORTY AVIJIT ,  CONSTABLE WILLIAM HOWARD ,  BELL II WILLIAM RICHARD

IPC: G06N3/08 ,  G06N3/04

CPC classification number: G06N3/08 ,  G06N3/04

Abstract: A method for managing synapse plasticity in a neural network includes converting a first set of synapses from a plastic synapse type to a fixed synapse type. The method may also include converting a second set of synapses from the fixed synapse type to the plastic synapse type.

Abstract translation: 用于管理神经网络中的突触可塑性的方法包括将第一组突触从塑性突触类型转换为固定的突触型。 该方法还可以包括将第二组突触从固定突触型转换为塑性突触型。

公开(公告)号：EP3295385A1

公开(公告)日：2018-03-21

申请号：EP16718825

申请日：2016-04-14

Applicant: QUALCOMM INC

Inventor： LIN DEXU ,  ANNAPUREDDY VENKATA SREEKANTA REDDY ,  HOWARD DAVID EDWARD ,  JULIAN DAVID JONATHAN ,  MAJUMDAR SOMDEB ,  BELL II WILLIAM RICHARD

IPC: G06N3/10 ,  G06N3/06

CPC classification number: G06N3/08 ,  G06N3/04 ,  G06N3/06 ,  G06N3/10

Abstract: A method of quantizing a floating point machine learning network to obtain a fixed point machine learning network using a quantizer may include selecting at least one moment of an input distribution of the floating point machine learning network. The method may also include determining quantizer parameters for quantizing values of the floating point machine learning network based at least in part on the at least one selected moment of the input distribution of the floating point machine learning network to obtain corresponding values of the fixed point machine learning network.