公开(公告)号：US20180018393A1

公开(公告)日：2018-01-18

申请号：US15212097

申请日：2016-07-15

Applicant: Cisco Technology, Inc.

Inventor： Hugo LATAPIE ,  Enzo FENOGLIO ,  Andre SURCOUF ,  Joseph T. FRIEL ,  Pete RAI

IPC: G06F17/30 ,  H04L12/24

CPC classification number: G06F16/367 ,  G06F16/3344 ,  G06F16/3346 ,  G06F16/9535 ,  H04L41/12 ,  H04L41/145 ,  H04L41/16

Abstract: A method comprises collecting, by a computing device located at an edge of a network, data items corresponding to information transmitted by endpoints using the network, generating, by the computing device, a probabilistic hierarchy using the data items, generating, by the computing device using the probabilistic hierarchy and natural language data, a similarity metric, generating, by the computing device using the probabilistic hierarchy, the natural language data, and the similarity metric, an ontology, detecting, by the computing device using the ontology, an anomaly, and in response to detecting the anomaly, sending a notification.

公开(公告)号：US20240281683A1

公开(公告)日：2024-08-22

申请号：US18651011

申请日：2024-04-30

Applicant: Cisco Technology, Inc.

Inventor： Hugo LATAPIE ,  Ozkan KILIC ,  Ramana Rao V. R. KOMPELLA ,  Myungjin LEE ,  Simon Matthew YOUNG

IPC: G06N5/043 ,  G06N3/042 ,  G06N3/088 ,  G06N5/02

CPC classification number: G06N5/043 ,  G06N3/042 ,  G06N5/02 ,  G06N3/088

Abstract: In one embodiment, a device maintains a metamodel that describes a monitored system. The metamodel comprises a plurality of layers ranging from a sub-symbolic space to a symbolic space. The device tracks updates to the metamodel over time. The device updates the metamodel based in part on sub-symbolic time series data generated by the monitored system. The device receives, from a learning agent, a request for the updates to a particular layer of the metamodel associated with a specified time period. The device provides, to the learning agent, data indicative of one or more updates to the particular layer of the metamodel associated with the specified time period.

公开(公告)号：US20170372624A1

公开(公告)日：2017-12-28

申请号：US15192896

申请日：2016-06-24

Applicant: Cisco Technology, Inc.

Inventor： Andre SURCOUF ,  Pascal THUBERT ,  Joseph T. FRIEL ,  Hugo LATAPIE

IPC: G08G5/04 ,  H04B7/0413 ,  H04W40/24 ,  G08G5/00 ,  B64C39/02 ,  H04W84/12

CPC classification number: B64C39/024 ,  B64C2201/141 ,  B64C2201/146 ,  G08G5/045 ,  H04B7/0413 ,  H04W84/12

Abstract: A system for collision avoidance includes memory storing instructions which, when executed, cause one or more processors to perform determining a direction of flight of a first drone, causing broadcasting, in the direction of flight based, a beamformed signal of beacon frames, determining a new flight direction of the same first drone, in response to the new flight direction, causing broadcasting of the beacon frames in the new flight direction, detecting second beacon frames from a second drone associated with a direction from which the second beacon frames are arriving; in response, causing the first drone to perform, without input from a pilot, one or more of a change in elevation, heading, speed, or type of operation, directed toward causing the first drone to follow a flight path that is separated from the second drone.

公开(公告)号：US20250054276A1

公开(公告)日：2025-02-13

申请号：US18231466

申请日：2023-08-08

Applicant: Cisco Technology, Inc.

Inventor： Gaowen Liu ,  Ramana Rao V. R KOMPELLA ,  Hugo LATAPIE

IPC: G06V10/764 ,  G06V10/70

Abstract: In one implementation, a device obtains a base machine learning model trained to label input data using a plurality of classes. The device receives a deployment task from a user interface indicative of a subset of one or more of the plurality of classes to be identified by a new model for deployment. The device selects a quantization level based on a difficulty associated with the deployment task. The device generates the new model for deployment that is quantized from the base machine learning model and specialized to label its input data using only the subset of one or more of the plurality of classes.

公开(公告)号：US20160283859A1

公开(公告)日：2016-09-29

申请号：US14667701

申请日：2015-03-25

Applicant: Cisco Technology, Inc.

Inventor： Enzo FENOGLIO ,  Andre SURCOUF ,  Joseph FRIEL ,  Hugo LATAPIE ,  Altan STALKER ,  Michael COSTELLO

IPC: G06N99/00 ,  G06N7/00 ,  H04L12/26

CPC classification number: G06N20/00 ,  G06N7/00 ,  H04L41/16 ,  H04L43/026 ,  H04L43/04 ,  H04L43/50 ,  H04L47/2441

Abstract: In one embodiment, a method for video traffic flow behavioral classification is implemented on a computing device and includes: receiving coarse flow data from a network router, where the coarse flow data includes summary statistics for data flows on the router, classifying the summary statistics to detect video flows from among the data flows, requesting fine flow data from the network router for each of the detected video flows, where the fine flow data includes information on a per packet basis, receiving the fine flow data from the network router, and classifying each of the detected video flows per video service provider in accordance with the information.

Abstract translation: 在一个实施例中，一种用于视频业务流行为分类的方法在计算设备上实现，包括：从网络路由器接收粗流数据，其中粗流数据包括路由器上的数据流的汇总统计，将汇总统计分类为 从数据流中检测视频流，从网络路由器请求每个检测到的视频流的精细流数据，其中精细流数据包括基于每个分组的信息，从网络路由器接收精细流数据，以及分类 每个视频服务提供商根据该信息检测每个视频流。

公开(公告)号：US20240211747A1

公开(公告)日：2024-06-27

申请号：US18087976

申请日：2022-12-23

Applicant: Cisco Technology, Inc.

Inventor： Hugo LATAPIE ,  Gaowen LIU ,  Ozkan KILIC ,  Adam James LAWRENCE ,  Ramana Rao V. R. KOMPELLA

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: In one embodiment, a device receives, from a requestor, a request for a set of ground truth examples of a particular type to be used to train a machine learning model. The request includes context data regarding a location to be analyzed by the machine learning model. The device identifies, based on the request, the set of ground truth examples using a metamodel comprising a semantic reasoner and a sub-symbolic layer. The device associates labels with the set of ground truth examples. The device provides, to the requestor, the set of ground truth examples and their labels.

公开(公告)号：US20230116423A1

公开(公告)日：2023-04-13

申请号：US17496011

申请日：2021-10-07

Applicant: Cisco Technology, Inc.

Inventor： Hugo LATAPIE ,  Ozkan KILIC ,  Adam James LAWRENCE ,  Gaowen LIU ,  Ramana Rao V. R. KOMPELLA ,  Jayanth SRINIVASA

IPC: G10L15/08 ,  G10L17/06 ,  G06F21/32

Abstract: In one embodiment, a device extracts a voice command from audio data captured by a microphone. The device uses a semantic reasoning engine, to determine a goal of the voice command. The device determines that the goal of the voice command is consistent with prior voice commands issued to the device. The device raises an alert when the goal of the voice command is inconsistent with prior voice commands issued to the device.

公开(公告)号：US20230111262A1

公开(公告)日：2023-04-13

申请号：US17495993

申请日：2021-10-07

Applicant: Cisco Technology, Inc.

Inventor： Hugo LATAPIE ,  Ozkan KILIC ,  Adam James LAWRENCE ,  Gaowen LIU ,  Ramana Rao V. R. KOMPELLA ,  Vijoy Anand PANDEY

IPC: G06N5/04 ,  G06N5/02

Abstract: In one embodiment, a device detects a particular activity from sensor data generated by one or more sensors in a sensor network. The device identifies, using a semantic reasoning engine, relevant preceding activities to the particular activity that are relevant to the particular activity. The device makes, using the semantic reasoning engine, an inference about the relevant preceding activities and the particular activity. The device provides an activity timeline for display that indicates the particular activity, the relevant preceding activities, and the inference about the relevant preceding activities and the particular activity.