公开(公告)号：US20150262054A1

公开(公告)日：2015-09-17

申请号：US14249762

申请日：2014-04-10

Applicant: QUALCOMM Incorporated

Inventor： Ryan Michael CAREY ,  Victor Hokkiu CHAN

IPC: G06N3/04 ,  G06N3/08

CPC classification number: G06N3/049 ,  G06K9/4623 ,  G06K9/627

Abstract: Certain aspects of the present disclosure support a method and apparatus for analog signal reconstruction and recognition via sub-threshold modulation. The analog waveform recognition in a sub-threshold region of an artificial neuron of the artificial nervous system can be performed by providing a predicted waveform in parallel to an input associated with the artificial neuron. The predicted waveform can be compared with the input and the signal can be generated based at least in part on the comparison. The signal can be a detection signal that detects matching and mismatching between the input and the predicted waveform

Abstract translation: 本公开的某些方面支持用于通过子阈值调制的模拟信号重建和识别的方法和装置。 可以通过提供与与人造神经元相关联的输入并行的预测波形来执行人造神经系统的人造神经元的亚阈值区域中的模拟波形识别。 可以将预测波形与输入进行比较，并且可以至少部分地基于比较来生成信号。 该信号可以是检测输入和预测波形之间的匹配和不匹配的检测信号

公开(公告)号：US20140143194A1

公开(公告)日：2014-05-22

申请号：US14070679

申请日：2013-11-04

Applicant: QUALCOMM Incorporated

Inventor： Young Cheul YOON ,  Ryan Michael CAREY ,  Roberto PADOVANI

IPC: G06N3/08

CPC classification number: G06N3/08 ,  G06N3/04 ,  G06N3/049 ,  G06N3/063 ,  G06N3/082 ,  G06N99/005

Abstract: Methods and apparatus for piecewise linear neuron modeling and implementing artificial neurons in an artificial nervous system based on linearized neuron models. One example method for operating an artificial neuron generally includes determining that a first state of the artificial neuron is within a first region; determining a second state of the artificial neuron based at least in part on a first set of linear equations, wherein the first set of linear equations is based at least in part on a first set of parameters corresponding to the first region; determining that the second state of the artificial neuron is within a second region; and determining a third state of the artificial neuron based at least in part on a second set of linear equations, wherein the second set of linear equations is based at least in part on a second set of parameters corresponding to the second region.

公开(公告)号：US20170041874A1

公开(公告)日：2017-02-09

申请号：US14820340

申请日：2015-08-06

Applicant: QUALCOMM Incorporated

Inventor： Tadeusz JAROSINSKI ,  Shankar SADASIVAM ,  Ryan Michael CAREY ,  Jinwon LEE ,  Bhuwan DHINGRA ,  Abhijeet BISAIN ,  Vitor Rocha de CARVALHO ,  Rajeev JAIN ,  Muralidhar Reddy AKULA ,  Ashwin SWAMINATHAN

IPC: H04W52/02 ,  H04L12/26

CPC classification number: H04W52/0225 ,  G06F1/3215 ,  H04L43/16 ,  H04M1/72569 ,  Y02D70/00 ,  Y02D70/1242 ,  Y02D70/1262 ,  Y02D70/1264 ,  Y02D70/142 ,  Y02D70/144 ,  Y02D70/146 ,  Y02D70/162 ,  Y02D70/164 ,  Y02D70/166 ,  Y02D70/26

Abstract: A context aware system, for use in a mobile device, includes a context change detector (CCD) coupled to a context classifier (CCL). The CCD is configured to receive sensor data and to detect a change in a current context state of the mobile device based on the received sensor data. The CCL is configured to transition from a low power consumption mode to a normal power consumption mode in response to the CCD detecting the change in the current context state. The CCL is further configured to determine a next context state of the mobile device while in the normal power consumption mode.

Abstract translation: 用于移动设备的上下文感知系统包括耦合到上下文分类器（CCL）的上下文变化检测器（CCD）。 CCD被配置为接收传感器数据并且基于接收到的传感器数据来检测移动设备的当前上下文状态的变化。 CCL被配置为响应于CCD检测当前上下文状态的变化而从低功耗模式转换到正常功耗模式。 CCL还被配置为在正常功耗模式下确定移动设备的下一个上下文状态。

公开(公告)号：US20230006718A1

公开(公告)日：2023-01-05

申请号：US17366823

申请日：2021-07-02

Applicant: QUALCOMM Incorporated

Inventor： Lindsey Makana KOSTAS ,  Ryan Michael CAREY ,  Mihir Vijay LAGHATE ,  Lorenzo FERRARI ,  Yuan GAO ,  Raghu Narayan CHALLA

IPC: H04B7/0456 ,  H04L5/00 ,  G06N3/08

Abstract: Aspects of the present disclosure relate to wireless communication systems, and in particular, to techniques for generation and processing of an embedding representing a beam for communication. Certain aspects provide a method for wireless communication by a wireless node. The method generally includes receiving an embedding representing a characterization associated with a beam; providing the embedding to a machine learning (ML) model; generating one or more communication parameters for communication using the beam via the ML model based on the embedding; and communicating using the one or more communication parameters.

公开(公告)号：US20160260012A1

公开(公告)日：2016-09-08

申请号：US15157035

申请日：2016-05-17

Applicant: QUALCOMM Incorporated

Inventor： Jason Frank HUNZINGER ,  Ryan Michael CAREY ,  Victor Hokkiu CHAN ,  Casimir Matthew WIERZYNSKI

IPC: G06N3/063 ,  G06N3/08

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

Abstract: A method for creating and maintaining short-term memory using short-term plasticity, includes changing a gain of a synapse based on pre synaptic spike activity without regard to postsynaptic spike activity. The method also includes calculating the gain based on a continuously updated synaptic state variable associated with the short-term plasticity.

Abstract translation: 使用短期可塑性创建和维持短期记忆的方法包括基于突触前突变活动改变突触的增益，而不考虑突触后的尖峰活动。 该方法还包括基于与短期可塑性相关联的连续更新的突触状态变量来计算增益。

公开(公告)号：US20240411968A1

公开(公告)日：2024-12-12

申请号：US18332416

申请日：2023-06-09

Applicant: QUALCOMM Incorporated

Inventor： Gokce SARAR ,  Ryan Michael CAREY ,  Arnav BALLANI ,  Bernard BOURON ,  Chandram KOTTURI ,  Chin-Wei HSU ,  Akshay Sanjay SARODE ,  Romain LEPERT ,  Michael DEFFERRARD ,  Onur ATAN ,  Lindsey Makana KOSTAS

IPC: G06F30/327

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for evaluating electronic circuit designs. A directed graph representing a netlist design for an electrical circuit is accessed, the netlist design comprising a plurality of electronic components and a plurality of connections among the plurality of electronic components. A node in the directed graph is selected, the node corresponding to a register that receives input from one or more of the plurality of electronic components in the netlist design. A subgraph is generated for the node, based on the directed graph, comprising identifying a connectivity cone ending at the first register. A functional embedding is generated for the subgraph based on a trained encoder machine learning model. A predicted performance characteristic of the netlist design is generated based at least in part on the functional embedding.

公开(公告)号：US20150193680A1

公开(公告)日：2015-07-09

申请号：US14279375

申请日：2014-05-16

Applicant: QUALCOMM Incorporated

Inventor： Victor Hokkiu CHAN ,  Ryan Michael CAREY

IPC: G06N3/08

CPC classification number: G06N3/08 ,  G06N3/049

Abstract: Methods and apparatus are provided for identifying environmental stimuli in an artificial nervous system using both spiking onset and spike counting. One example method of operating an artificial nervous system generally includes receiving a stimulus; generating, at an artificial neuron, a spike train of two or more spikes based at least in part on the stimulus; identifying the stimulus based at least in part on an onset of the spike train; and checking the identified stimulus based at least in part on a rate of the spikes in the spike train. In this manner, certain aspects of the present disclosure may respond with short response latencies and may also maintain accuracy by allowing for error correction.

Abstract translation: 提供了用于使用尖峰起始和尖峰计数来识别人造神经系统中的环境刺激的方法和装置。 操作人造神经系统的一个示例性方法通常包括接收刺激; 在人造神经元处至少部分地基于所述刺激产生两个或多个尖峰的尖峰序列; 至少部分地基于尖峰火车的开始来识别刺激; 以及至少部分地基于尖峰列车中的尖峰速率来检查所识别的刺激。 以这种方式，本公开的某些方面可以以短的响应延迟作出响应，并且还可以通过允许纠错来保持准确性。