公开(公告)号：US20190306011A1

公开(公告)日：2019-10-03

申请号：US16429177

申请日：2019-06-03

Applicant: Cisco Technology, Inc.

Inventor： Enzo Fenoglio ,  Hugo Latapie ,  David Delano Ward ,  Sawsen Rezig ,  Raphaël Wouters ,  Didier Colens ,  Donald Mark Allen ,  Dmitri Goloubev

IPC: H04L12/24 ,  G06N20/00 ,  G06N5/04 ,  H04L12/26

Abstract: In one embodiment, a service that monitors a network detects a plurality of anomalies in the network. The service uses data regarding the detected anomalies as input to one or more machine learning models. The service maps, using a conceptual space, outputs of the one or more machine learning models to symbols. The service applies a symbolic reasoning engine to the symbols, to rank the anomalies. The service sends an alert for a particular one of the detected anomalies to a user interface, based on its corresponding rank.

公开(公告)号：US10282414B2

公开(公告)日：2019-05-07

申请号：US15445059

申请日：2017-02-28

Applicant: Cisco Technology, Inc.

Inventor： Hugo Mike Latapie ,  Enzo Fenoglio ,  Guillaume Sauvage De Saint Marc ,  Monique Jeanne Morrow ,  Manikandan Kesavan

IPC: G06F3/0484 ,  G06F17/27 ,  G06N3/08

Abstract: In one embodiment, a method includes obtaining text from a user, applying the text to a deep learning neural network to generate a plurality of bias coordinates defining a point in an embedded space, and, in response to determining that at least one of the plurality of bias coordinates exceeds a threshold, providing an indication of bias to the user.

公开(公告)号：US20180376108A1

公开(公告)日：2018-12-27

申请号：US15646470

申请日：2017-07-11

Applicant: Cisco Technology, Inc.

Inventor： Paul Bright-Thomas ,  Nathan Buckles ,  Keith Griffin ,  Eric Chen ,  Manikandan Kesavan ,  Plamen Nedeltchev ,  Hugo Mike Latapie ,  Enzo Fenoglio

IPC: H04N7/15 ,  G06K9/66 ,  G06K9/00 ,  G10L15/18 ,  G10L25/57

CPC classification number: H04N7/152 ,  G06K9/00302 ,  G06K9/00711 ,  G06K9/00718 ,  G06K9/4628 ,  G06K9/6274 ,  G06K9/66 ,  G10L15/1815 ,  G10L25/57 ,  H04N7/147 ,  H04N7/15

Abstract: Systems and methods are disclosed for anticipating a video switch to accommodate a new speaker in a video conference comprising a real time video stream captured by a camera local to a first videoconference endpoint is analyzed according to at least one speaker anticipation model. The speaker anticipation model predicts that a new speaker is about to speak. Video of the anticipated new speaker is sent to the conferencing server in response to a request for the video on the anticipated new speaker from the conferencing server. Video of the anticipated new speaker is distributed to at least a second videoconference endpoint.

公开(公告)号：US10121103B2

公开(公告)日：2018-11-06

申请号：US15374571

申请日：2016-12-09

Applicant: Cisco Technology, Inc.

Inventor： Hugo Mike Latapie ,  Enzo Fenoglio ,  Joseph T. Friel ,  Andre Surcouf ,  Pascal Thubert

IPC: G06K9/00 ,  G06N3/08 ,  G06T7/246

Abstract: In one embodiment, a method includes receiving training data, the training data including training video data representing video of a location in a quiescent state, training a neural network using the training data to obtain a plurality of metrics, receiving current data, the current data including current video data representing video of the location at a current time period, generating a reconstruction error based on the plurality of metrics and the current video data in the embedded space, and generating, in response to determining that the reconstruction error is greater than a threshold, a notification indicative of the location being in a non-quiescent state.

公开(公告)号：US09749718B1

公开(公告)日：2017-08-29

申请号：US15215098

申请日：2016-07-20

Applicant: Cisco Technology, Inc.

Inventor： Joseph Friel ,  Hugo Latapie ,  Andre Surcouf ,  Enzo Fenoglio

IPC: G08C19/16 ,  H04Q9/00

CPC classification number: H04Q9/00 ,  G08C25/00

Abstract: Disclosed are systems, methods, and computer-readable storage media for adaptive telemetry based on in-network cross domain intelligence. A telemetry server can receive at least a first telemetry data stream and a second telemetry data stream. The first telemetry data stream can provide data collected from a first data source and the second telemetry data stream can provide data collected from a second data source. The telemetry server can determine correlations between the first telemetry data stream and the second telemetry data stream that indicate redundancies between data included in the first telemetry data stream and the second telemetry data stream, and then adjust, based on the correlations between the first telemetry data stream and the second telemetry data stream, data collection of the second telemetry data stream to reduce redundant data included in the first telemetry data stream and the second telemetry data stream.

公开(公告)号：US11715304B2

公开(公告)日：2023-08-01

申请号：US17860962

申请日：2022-07-08

Applicant: Cisco Technology, Inc.

Inventor： Hugo Latapie ,  Enzo Fenoglio ,  David Delano Ward ,  Guillaume Sauvage De Saint Marc ,  Carole Gridley

IPC: G06V20/52 ,  H04N7/18 ,  G06T7/11 ,  G06T7/20 ,  G08B5/22 ,  G06Q30/0601 ,  G06V20/40 ,  G06V40/10

CPC classification number: G06V20/52 ,  G06Q30/0625 ,  G06T7/11 ,  G06T7/20 ,  G06V20/46 ,  G06V40/10 ,  G08B5/22 ,  H04N7/181 ,  G06T2207/10016 ,  G06T2207/20084 ,  G06T2207/30232 ,  G06V2201/08

Abstract: In one embodiment, a video analysis service receives video data captured by one or more cameras at a particular location. The service applies a neural network-based model to portions of the video data, to identify objects within the video data. The service maps outputs of the neural network-based model to symbols using a conceptual space. The outputs of the model comprise the identified objects. The service applies a symbolic reasoning engine to the symbols, to generate an alert. The service sends the alert to a user interface in conjunction with the video data.

公开(公告)号：US11687798B2

公开(公告)日：2023-06-27

申请号：US16811823

申请日：2020-03-06

Applicant: Cisco Technology, Inc.

Inventor： Hugo Latapie ,  Enzo Fenoglio ,  Carlos M. Pignataro ,  Nagendra Kumar Nainar ,  David Delano Ward

IPC: G06F17/00 ,  G06N5/025 ,  G06N5/022

CPC classification number: G06N5/025 ,  G06N5/022

Abstract: In one embodiment, a deep fusion reasoning engine receives network telemetry data collected from a network. The deep fusion reasoning engine learns resource utilizations for different heuristic packages that can be used in the network to evaluate operation of the network. The deep fusion reasoning engine selects one of the heuristic packages based on the resource utilizations learned for the different heuristic packages. The selected heuristic package comprises a subservice and a set of rules to be evaluated. The deep fusion reasoning engine deploys the selected heuristic package for execution by a device in the network to evaluate operation of the network using the set of rules.

公开(公告)号：US11595268B2

公开(公告)日：2023-02-28

申请号：US17186148

申请日：2021-02-26

Applicant: Cisco Technology, Inc.

Inventor： Enzo Fenoglio ,  Hugo Latapie ,  David Delano Ward ,  Sawsen Rezig ,  Raphaël Wouters ,  Didier Colens ,  Donald Mark Allen ,  Dmitri Goloubev

IPC: H04L41/16 ,  H04L41/0604 ,  G06N20/00 ,  G06N5/04 ,  H04L41/069 ,  H04L43/04 ,  H04L41/22 ,  H04L41/142

Abstract: In one embodiment, a service that monitors a network detects a plurality of anomalies in the network. The service uses data regarding the detected anomalies as input to one or more machine learning models. The service maps, using a conceptual space, outputs of the one or more machine learning models to symbols. The service applies a symbolic reasoning engine to the symbols, to rank the anomalies. The service sends an alert for a particular one of the detected anomalies to a user interface, based on its corresponding rank.

公开(公告)号：US20220272004A1

公开(公告)日：2022-08-25

申请号：US17181243

申请日：2021-02-22

Applicant: Cisco Technology, Inc.

Inventor： Frank Brockners ,  Shwetha Subray Bhandari ,  Pallavi Kalapatapu ,  Enzo Fenoglio ,  Wenqin Shao

IPC: H04L12/24 ,  G06F9/451

Abstract: Techniques for utilizing a communication system that provides access to a representation of a virtual environment to participants. The communication system may establish connections between personal communication bridge(s) associated with participant(s) interacting within a virtual proximity radius of one another's virtual indicator in the virtual environment. The communication system may cause conversation data to be sent each personal communication bridge associated with a participant that is within the virtual proximity radius of the sender, and cause conversation data to be received via the personal communication bridge of a participant that is within the virtual proximity radius of the sender. The communication system may also analyze data associated with the participant profile(s) and transcribed conversation data from the communication bridges(s) to recommend potential conversations of interest to participant(s).

公开(公告)号：US11379510B2

公开(公告)日：2022-07-05

申请号：US16819783

申请日：2020-03-16

Applicant: Cisco Technology, Inc.

Inventor： Hugo Latapie ,  Enzo Fenoglio ,  Andre Surcouf ,  Joseph T. Friel ,  Pete Rai

IPC: G06F16/00 ,  G06F16/36 ,  H04L41/14 ,  G06F16/33 ,  G06F16/9535 ,  H04L41/16 ,  H04L41/12

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.