公开(公告)号：US09542645B2

公开(公告)日：2017-01-10

申请号：US14228078

申请日：2014-03-27

Applicant: QUALCOMM Incorporated

Inventor： Vikram Gupta ,  Sarah Paige Gibson ,  Jeffrey Alexander Levin ,  Ravindra Manohar Patwardhan ,  Avijit Chakraborty ,  William Howard Constable ,  William Richard Bell, II

IPC: G06N5/00 ,  G06N3/04 ,  G06N3/08

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：US10083378B2

公开(公告)日：2018-09-25

申请号：US15191033

申请日：2016-06-23

Applicant: QUALCOMM Incorporated

Inventor： Avijit Chakraborty

IPC: G06K9/66 ,  G06K9/46 ,  G06K9/62 ,  G06N3/08

CPC classification number: G06K9/66 ,  G06K9/00771 ,  G06K9/4671 ,  G06K9/6267 ,  G06N3/08

Abstract: A machine learning model is configured to detect objects from video images. A system monitors video images to identify particular objects. A deep learning process is utilized to learn a baseline pattern. A change due to movement within a field of view is autonomously detected using the deep learning processing. An action is performed based on the detected change.