公开(公告)号：US09710749B2

公开(公告)日：2017-07-18

申请号：US14281118

申请日：2014-05-19

Applicant: QUALCOMM Incorporated

Inventor： Michael-David Nakayoshi Canoy ,  William Richard Bell, II ,  Ramakrishna Kintada ,  Venkat Rangan

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

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.

公开(公告)号：US09542643B2

公开(公告)日：2017-01-10

申请号：US14267005

申请日：2014-05-01

Applicant: QUALCOMM Incorporated

Inventor： Jeffrey Alexander Levin ,  Venkat Rangan ,  Erik Christopher Malone

IPC: G06N3/063 ,  G06N3/08 ,  G06N3/04

CPC classification number: G06N3/063 ,  G06N3/049 ,  G06N3/08

Abstract: Certain aspects of the present disclosure support operating simultaneously multiple super neuron processing units in an artificial nervous system, wherein a plurality of artificial neurons is assigned to each super neuron processing unit. The super neuron processing units can be interfaced with a memory for storing and loading synaptic weights and plasticity parameters of the artificial nervous system, wherein organization of the memory allows contiguous memory access.

Abstract translation: 本公开的某些方面支持在人造神经系统中同时操作多个超级神经元处理单元，其中将多个人造神经元分配给每个超级神经元处理单元。 超神经元处理单元可以与用于存储和加载人造神经系统的突触权重和可塑性参数的存储器接口，其中存储器的组织允许连续的存储器访问。

公开(公告)号：US09471840B2

公开(公告)日：2016-10-18

申请号：US14985144

申请日：2015-12-30

Applicant: QUALCOMM Incorporated

Inventor： Alok Govil ,  Evgeni Petrovich Gousev ,  Venkat Rangan ,  Nelson Rasquinha

IPC: G06K9/00 ,  G06K9/32 ,  G06K9/60 ,  H04N5/345 ,  H04N5/347 ,  G06K9/66 ,  H04N13/02 ,  H04N5/232 ,  G06K9/46

CPC classification number: G06K9/00973 ,  G06K9/00221 ,  G06K9/00288 ,  G06K9/00624 ,  G06K9/32 ,  G06K9/3233 ,  G06K9/4671 ,  G06K9/605 ,  G06K9/66 ,  G06K2009/4666 ,  H04N5/23219 ,  H04N5/3454 ,  H04N5/347 ,  H04N5/378 ,  H04N13/254

Abstract: An apparatus includes a hardware sensor array including a plurality of pixels arranged along at least a first dimension and a second dimension of the array, each of the pixels capable of generating a sensor reading. A hardware scanning window array includes a plurality of storage elements arranged along at least a first dimension and a second dimension of the hardware scanning window array, each of the storage elements capable of storing a pixel value based on one or more sensor readings. Peripheral circuitry for systematically transfers pixel values, based on sensor readings, into the hardware scanning window array, to cause different windows of pixel values to be stored in the hardware scanning window array at different times. Control logic coupled to the hardware sensor array, the hardware scanning window array, and the peripheral circuitry, provides control signals to the peripheral circuitry to control the transfer of pixel values.

Abstract translation: 一种装置包括硬件传感器阵列，其包括沿阵列的至少第一维度和第二维度排列的多个像素，每个像素能够产生传感器读数。 硬件扫描窗口阵列包括沿着硬件扫描窗口阵列的至少第一维度和第二维度布置的多个存储元件，每个存储元件能够基于一个或多个传感器读数来存储像素值。 用于系统地将基于传感器读数的像素值传送到硬件扫描窗口阵列中的外围电路，以使像素值的不同窗口在不同时间存储在硬件扫描窗口阵列中。 耦合到硬件传感器阵列，硬件扫描窗口阵列和外围电路的控制逻辑向外围电路提供控制信号以控制像素值的传送。

公开(公告)号：US09330355B2

公开(公告)日：2016-05-03

申请号：US14084326

申请日：2013-11-19

Applicant: QUALCOMM Incorporated

Inventor： Venkat Rangan

IPC: G06N3/04 ,  G06N3/08 ,  G06N3/063

CPC classification number: G06N3/08 ,  G06N3/049 ,  G06N3/063 ,  G06N3/082

Abstract: Methods and apparatus are provided for determining synapses in an artificial nervous system based on connectivity patterns. One example method generally includes determining, for an artificial neuron, an event has occurred; based on the event, determining one or more synapses with other artificial neurons based on a connectivity pattern associated with the artificial neuron; and applying a spike from the artificial neuron to the other artificial neurons based on the determined synapses. In this manner, the connectivity patterns (or parameters for determining such patterns) for particular neuron types, rather than the connectivity itself, may be stored. Using the stored information, synapses may be computed on the fly, thereby reducing memory consumption and increasing memory bandwidth. This also saves time during artificial nervous system updates.

Abstract translation: 提供了用于基于连通性模式确定人造神经系统中的突触的方法和装置。 一个示例性方法通常包括为人造神经元确定已经发生事件; 基于事件，基于与人造神经元相关联的连接模式，确定与其他人造神经元的一个或多个突触; 并根据确定的突触将人造神经元的尖峰应用于其他人造神经元。 以这种方式，可以存储用于特定神经元类型而不是连接本身的连接模式（或用于确定这种模式的参数）。 使用存储的信息，可以即时计算突触，从而减少内存消耗并增加内存带宽。 这也节省了人造神经系统更新中的时间。

公开(公告)号：US20160094814A1

公开(公告)日：2016-03-31

申请号：US14866549

申请日：2015-09-25

Applicant: QUALCOMM Incorporated

Inventor： Evgeni P. Gousev ,  Alok Govil ,  Jacek Maitan ,  Nelson Rasquina ,  Venkat Rangan

IPC: H04N7/18 ,  H04N5/232 ,  H04N5/235

CPC classification number: H04N7/183 ,  G06F3/011 ,  G06K9/00228 ,  G06K9/00255 ,  G06K9/00342 ,  G06K9/00355 ,  G06K9/00362 ,  G06K9/00664 ,  G06K9/00973 ,  G06K9/00986 ,  G06K9/4619 ,  G06K9/605 ,  G06K9/6267 ,  G06K2009/4666 ,  H04N5/23219 ,  H04N5/23241 ,  H04N5/2355

Abstract: Techniques disclosed herein utilize a vision sensor that integrates a special-purpose camera with dedicated computer vision (CV) computation hardware and a dedicated low-power microprocessor for the purposes of detecting, tracking, recognizing, and/or analyzing subjects, objects, and scenes in the view of the camera. The vision sensor processes the information retrieved from the camera using the included low-power microprocessor and sends “events” (or indications that one or more reference occurrences have occurred, and, possibly, associated data) for the main processor only when needed or as defined and configured by the application. This allows the general-purpose microprocessor (which is typically relatively high-speed and high-power to support a variety of applications) to stay in a low-power (e.g., sleep mode) most of the time as conventional, while becoming active only when events are received from the vision sensor.

Abstract translation: 本文公开的技术利用视觉传感器，其将特殊用途相机与专用计算机视觉（CV）计算硬件和专用低功率微处理器集成，用于检测，跟踪，识别和/或分析主体，对象和场景 在相机的视野。 视觉传感器使用附带的低功率微处理器处理从摄像机检索的信息，并且仅在需要时发送主处理器的“事件”（或发生了一个或多个参考事件以及可能的关联数据），或者作为 由应用程序定义和配置。 这允许通用微处理器（通常是相对高速和大功率来支持各种应用程序）在大多数时间内保持在低功率（例如，睡眠模式）中，同时仅成为活动的 当从视觉传感器接收到事件时。

公开(公告)号：US20140252531A1

公开(公告)日：2014-09-11

申请号：US13924687

申请日：2013-06-24

Applicant: QUALCOMM Incorporated

Inventor： Babak Aryan ,  Senthil Kumar Govindaswamy ,  Venkat Rangan

IPC: H01L27/16

CPC classification number: H01L27/16 ,  H01L23/38 ,  H01L35/32 ,  H01L2924/0002 ,  H05K1/0203 ,  H05K1/185 ,  H05K2201/10219 ,  H01L2924/00012 ,  H01L2924/00

Abstract: Systems and methods for harvesting dissipated heat from integrated circuits (ICs) in electronic devices into electrical energy for providing power for the electronic devices are disclosed. In one embodiment, energy transferred from one or more ICs in the form of dissipated heat is harvested to convert at least a portion of this dissipated heat into electricity. This power can be used to provide power to the ICs to reduce overall power consumption by the electronic device. The harvested dissipated heat can be supplied to ICs in the electronic device to provide power to the ICs. Alternatively, or in addition, the harvested dissipated heat can be stored in an energy storage device to provide power to the ICs at a later time.

Abstract translation: 公开了用于从电子设备中的集成电路（IC）将耗散的热量收集到用于为电子设备供电的电能的系统和方法。 在一个实施例中，收集从散热形式的一个或多个IC转移的能量，以将该散热的至少一部分转化成电。 该功率可用于为IC提供电力以减少电子设备的总功耗。 所获得的耗散的热量可以提供给电子设备中的IC以向IC提供电力。 或者或另外，收获的耗散热量可以存储在能量存储装置中，以在稍后的时间向IC提供电力。