TECHNIQUES FOR IN-STORE PRESCRIPTION NOTIFICATIONS
    2.
    发明申请
    TECHNIQUES FOR IN-STORE PRESCRIPTION NOTIFICATIONS 审中-公开
    存储处理通知的技术

    公开(公告)号:US20170053093A1

    公开(公告)日:2017-02-23

    申请号:US14829160

    申请日:2015-08-18

    Abstract: A mobile device and a server exchange information in response to the mobile device detecting a proximity beacon. Upon detecting the proximity beacon, the mobile device initiates a web service call to the server. A mobile device user will indicate a choice whether to opt-in upon registration. If the user has opted in, the server will retrieve additional information about the user including prescription information. The server will transmit prescription information and other marketing information to the mobile device. The server may be configured to receive additional information from the mobile device, for example, a request for a prescription to be refilled.

    Abstract translation: 移动设备和服务器响应于移动设备检测接近信标来交换信息。 在检测到邻近信标时,移动设备发起对服务器的web服务呼叫。 移动设备用户将指示是否在注册时选择加入。 如果用户已选择加入,服务器将检索有关用户的其他信息,包括处方信息。 服务器将把处方信息和其他营销信息传送给移动设备。 服务器可以被配置为从移动设备接收附加信息,例如,对重新填充处方的请求。

    Digital link viewer
    3.
    发明授权
    Digital link viewer 有权
    数字链接查看器

    公开(公告)号:US09377921B2

    公开(公告)日:2016-06-28

    申请号:US13538116

    申请日:2012-06-29

    Abstract: A system may receive first user input that identifies an optical route in an optical network, may receive a second user input that identifies a view type, and may provide, based on the first user input and the second user input, a user interface. The user interface may display, based on the identified view type, a representation of components associated with the optical route, a representation of ports on each of the components, a representation of a first parameter associated with each port, and a representation of an optical link associated with the optical route, where the representation of the optical link identifies a port on each of the components that connects the optical link to each of the components.

    Abstract translation: 系统可以接收标识光网络中的光路由的第一用户输入,可以接收标识视图类型的第二用户输入,并且可以基于第一用户输入和第二用户输入提供用户界面。 用户界面可以基于所识别的视图类型来显示与光路由相关联的组件的表示,每个组件上的端口的表示,与每个端口相关联的第一参数的表示,以及光学 链路,其中光链路的表示标识将光链路连接到每个组件的每个组件上的端口。

    Event-driven universal neural network circuit
    4.
    发明授权
    Event-driven universal neural network circuit 有权
    事件驱动的通用神经网络电路

    公开(公告)号:US09292788B2

    公开(公告)日:2016-03-22

    申请号:US13594058

    申请日:2012-08-24

    CPC classification number: G06N3/08 G06N3/04 G06N3/049 G06N3/063

    Abstract: The present invention provides an event-driven universal neural network circuit. The circuit comprises a plurality of neural modules. Each neural module comprises multiple digital neurons such that each neuron in a neural module has a corresponding neuron in another neural module. An interconnection network comprising a plurality of digital synapses interconnects the neural modules. Each synapse interconnects a first neural module to a second neural module by interconnecting a neuron in the first neural module to a corresponding neuron in the second neural module. Corresponding neurons in the first neural module and the second neural module communicate via the synapses. Each synapse comprises a learning rule associating a neuron in the first neural module with a corresponding neuron in the second neural module. A control module generates signals which define a set of time steps for event-driven operation of the neurons and event communication via the interconnection network.

    Abstract translation: 本发明提供一种事件驱动通用神经网络电路。 该电路包括多个神经模块。 每个神经模块包括多个数字神经元,使得神经模块中的每个神经元在另一个神经模块中具有相应的神经元。 包括多个数字突触的互连网络将神经模块互连。 每个突触通过将第一神经模块中的神经元与第二神经模块中的相应神经元相互连接来将第一神经模块与第二神经模块相互连接。 第一神经模块和第二神经模块中的相应神经元通过突触进行通信。 每个突触包括将第一神经模块中的神经元与第二神经模块中的相应神经元相关联的学习规则。 控制模块产生信号,其定义用于经由互连网络进行神经元和事件通信的事件驱动操作的一组时间步长。

    SYNAPTIC, DENDRITIC, SOMATIC, AND AXONAL PLASTICITY IN A NETWORK OF NEURAL CORES USING A PLASTIC MULTI-STAGE CROSSBAR SWITCHING
    5.
    发明申请
    SYNAPTIC, DENDRITIC, SOMATIC, AND AXONAL PLASTICITY IN A NETWORK OF NEURAL CORES USING A PLASTIC MULTI-STAGE CROSSBAR SWITCHING 审中-公开
    使用塑料多阶段交叉开关的神经网络中的SYNAPTIC,DENDRITIC,SOMATIC和AXONAL PLASTICITY

    公开(公告)号:US20150262057A1

    公开(公告)日:2015-09-17

    申请号:US13594069

    申请日:2012-08-24

    CPC classification number: G06N3/04 G06F13/4068 G06N3/063 Y02D10/14 Y02D10/151

    Abstract: Embodiments of the invention provide a neural network comprising multiple functional neural core circuits, and a dynamically reconfigurable switch interconnect between the functional neural core circuits. The interconnect comprises multiple connectivity neural core circuits. Each functional neural core circuit comprises a first and a second core module. Each core module comprises a plurality of electronic neurons, a plurality of incoming electronic axons, and multiple electronic synapses interconnecting the incoming axons to the neurons. Each neuron has a corresponding outgoing electronic axon. In one embodiment, zero or more sets of connectivity neural core circuits interconnect outgoing axons in a functional neural core circuit to incoming axons in the same functional neural core circuit. In another embodiment, zero or more sets of connectivity neural core circuits interconnect outgoing and incoming axons in a functional neural core circuit to incoming and outgoing axons in a different functional neural core circuit, respectively.

    Abstract translation: 本发明的实施例提供了一种包括多个功能神经核心电路的神经网络,以及功能神经核心电路之间的动态可重构开关互连。 互连包括多个连接神经核心电路。 每个功能神经核心电路包括第一和第二核心模块。 每个核心模块包括多个电子神经元,多个输入电子轴突以及将输入的轴突与神经元相互连接的多个电子突触。 每个神经元都有一个相应的输出电子轴突。 在一个实施例中,零个或多个连接神经核心电路组将功能性神经核心电路中的输出轴突与相同功能神经核心电路中的输入轴突相互连接。 在另一个实施例中,零个或多个连接神经核心电路组将功能性神经核心电路中的输出和输入轴突分别互连到不同功能神经核心电路中的输入和输出轴突。

    Object visualization
    7.
    发明授权
    Object visualization 有权
    对象可视化

    公开(公告)号:US09122383B2

    公开(公告)日:2015-09-01

    申请号:US13447788

    申请日:2012-04-16

    CPC classification number: G06F3/04842 G06F3/04847

    Abstract: A method for object visualization includes providing an operator with an object filter tool through a graphical user interface, the tool comprising a rail having a number of shapes placed at distances from each other along the rail, the shapes representing divisions within a list of objects, distances between the shapes correlating to a number of objects between the divisions. The method further includes receiving from the operator, an interaction with the tool indicating a selection of objects within the list and presenting to the operator, a list of objects filtered based on the interaction with the filter tool.

    Abstract translation: 一种用于对象可视化的方法包括:通过图形用户界面向操作者提供对象过滤器工具,所述工具包括轨道,轨道具有沿着轨道相互间隔距离设置的多个形状,所述形状表示对象列表内的划分, 形状之间的距离与分区之间的对象数量相关。 所述方法还包括从所述操作者接收与所述工具的交互,其指示所述列表内的对象的选择以及向所述操作者呈现基于与所述过滤器工具的交互过滤的对象的列表。

    Embolic protection device
    8.
    发明授权
    Embolic protection device 有权
    栓塞保护装置

    公开(公告)号:US08945169B2

    公开(公告)日:2015-02-03

    申请号:US11375328

    申请日:2006-03-14

    Applicant: Dharmendra Pal

    Inventor: Dharmendra Pal

    Abstract: An embolic protection device is provided for deployment within a body vessel to collect embolic debris there from. The device includes a filter for collecting the embolic debris and a frame for supporting the filter. The frame generally defines a closed loop that has a collapsed state and an opened state. Furthermore, the frame includes a tube portion that receives an opening means to open the closed loop from the collapsed state to the opened state.

    Abstract translation: 提供栓塞保护装置用于部署在身体容器内以从中收集栓塞残留物。 该装置包括用于收集栓塞物的过滤器和用于支撑过滤器的框架。 框架通常定义具有折叠状态和打开状态的闭环。 此外,框架包括管部分,其接收打开装置以将闭合环从折叠状态打开到打开状态。

    Multi-compartment neuron suitable for implementation in a distributed hardware model by reducing communication bandwidth
    9.
    发明授权
    Multi-compartment neuron suitable for implementation in a distributed hardware model by reducing communication bandwidth 有权
    多分段神经元适用于通过降低通信带宽在分布式硬件模型中实现

    公开(公告)号:US08914315B2

    公开(公告)日:2014-12-16

    申请号:US13360622

    申请日:2012-01-27

    CPC classification number: G06N3/063 G06N3/049

    Abstract: Embodiments of the present invention provide a neural module comprising a multilevel hierarchical structure of neural compartments. Each neural compartment is interconnected to one or more neural compartments of a previous level and a next hierarchical level in the hierarchical structure. Each neural compartment integrates spike signals from interconnected neural compartments of a previous hierarchical level, generates a spike signal in response to the integrated spike signals reaching a threshold of said neural compartment, and delivers a generated spike signal to interconnected neural compartments of a next hierarchical level. Each neural compartment is further interconnected to one or more external spiking systems, such that said neural compartment integrates spike signals from interconnected external spiking systems, and delivers a generated spike signal to interconnected external spiking systems. The neural compartments of a neural module include one soma compartment and a plurality of dendrite compartments. Each neural compartment is excitatory or inhibitory.

    Abstract translation: 本发明的实施例提供一种神经模块,其包括神经腔室的多级分级结构。 每个神经隔室与分层结构中的先前水平和下一层次级别的一个或多个神经隔室相互连接。 每个神经隔室整合来自先前分层级别的互连神经腔室的尖峰信号,响应于达到所述神经腔室的阈值的积分尖峰信号产生尖峰信号,并将产生的尖峰信号传递到下一层级的互连神经腔室 。 每个神经隔室进一步互连到一个或多个外部加标系统,使得所述神经腔室集成来自互连的外部加标系统的尖峰信号,并将产生的尖峰信号传送到互连的外部加标系统。 神经模块的神经腔室包括一个血管隔室和多个枝晶隔室。 每个神经室是兴奋性或抑制性的。

    Unsupervised, supervised, and reinforced learning via spiking computation
    10.
    发明授权
    Unsupervised, supervised, and reinforced learning via spiking computation 有权
    无监督,监督和加强学习通过尖峰计算

    公开(公告)号:US08874498B2

    公开(公告)日:2014-10-28

    申请号:US13235342

    申请日:2011-09-16

    CPC classification number: G06N3/08 G06N3/04 G06N3/049 G06N3/063 G06N3/088

    Abstract: The present invention relates to unsupervised, supervised and reinforced learning via spiking computation. The neural network comprises a plurality of neural modules. Each neural module comprises multiple digital neurons such that each neuron in a neural module has a corresponding neuron in another neural module. An interconnection network comprising a plurality of edges interconnects the plurality of neural modules. Each edge interconnects a first neural module to a second neural module, and each edge comprises a weighted synaptic connection between every neuron in the first neural module and a corresponding neuron in the second neural module.

    Abstract translation: 本发明涉及通过尖峰计算的无监督,监督和加强学习。 神经网络包括多个神经模块。 每个神经模块包括多个数字神经元,使得神经模块中的每个神经元在另一个神经模块中具有相应的神经元。 包括多个边缘的互连网络互连多个神经模块。 每个边缘将第一神经模块互连到第二神经模块,并且每个边缘包括第一神经模块中的每个神经元和第二神经模块中的相应神经元之间的加权突触连接。

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