公开(公告)号：US20150052093A1

公开(公告)日：2015-02-19

申请号：US14079181

申请日：2013-11-13

Applicant: QUALCOMM Incorporated

Inventor： Michael-David Nakayoshi CANOY ,  Yinyin LIU ,  Anthony SARAH ,  Adrienne MILNER

IPC: G06N3/08

CPC classification number: G06N3/08 ,  G06N3/049

Abstract: Methods and apparatus are provided for training a neural device having an artificial nervous system by modulating at least one training parameter during the training. One example method for training a neural device having an artificial nervous system generally includes observing the neural device in a training environment and modulating at least one training parameter based at least in part on the observing. For example, the training apparatus described herein may modify the neural device's internal learning mechanisms (e.g., spike rate, learning rate, neuromodulators, sensor sensitivity, etc.) and/or the training environment's stimuli (e.g., move a flame closer to the device, make the scene darker, etc.). In this manner, the speed with which the neural device is trained (i.e., the training rate) may be significantly increased compared to conventional neural device training systems.

Abstract translation: 提供了用于通过在训练期间调制至少一个训练参数来训练具有人造神经系统的神经装置的方法和装置。 用于训练具有人造神经系统的神经装置的一个示例性方法通常包括在训练环境中观察神经装置并且至少部分地基于观察来调制至少一个训练参数。 例如，本文描述的训练装置可以修改神经装置的内部学习机制（例如，尖峰率，学习速率，神经调节器，传感器灵敏度等）和/或训练环境的刺激（例如，将火焰移动到设备附近 ，使场景更暗等）。 以这种方式，与传统的神经元装置训练系统相比，神经装置训练的速度（即，训练速率）可以显着增加。

公开(公告)号：US20150139537A1

公开(公告)日：2015-05-21

申请号：US14295608

申请日：2014-06-04

Applicant: QUALCOMM Incorporated

Inventor： Adrienne MILNER ,  Kiet CHAU ,  Victor Hokkiu CHAN ,  Michael-David Nakayoshi CANOY

IPC: G06K9/66 ,  G06K9/46

CPC classification number: G06K9/66 ,  G06K9/4604 ,  G06K9/4619 ,  G06K9/4671 ,  G06N3/049 ,  G06T7/246 ,  G06T2207/10016 ,  G06T2207/20084

Abstract: Certain aspects of the present disclosure relate to methods and apparatus for neuro-simulation with a single two-dimensional device to track objects. The neuro-simulation may report a point of interest in an image that is provided by the device. The device may center on the point of interest using one or more actuators. The simulation mechanism may input pixels and output a plurality of angles to the actuators to adjust their direction.

Abstract translation: 本公开的某些方面涉及用于跟踪物体的单个二维装置进行神经模拟的方法和装置。 神经模拟可以报告由设备提供的图像中的兴趣点。 设备可以使用一个或多个致动器在感兴趣点上居中。 模拟机构可以输入像素并向致动器输出多个角度以调整它们的方向。