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公开(公告)号：US11616701B2
公开(公告)日：2023-03-28
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
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).
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公开(公告)号：US11301690B2
公开(公告)日：2022-04-12
申请号：US16743598
申请日：2020-01-15
Applicant: Cisco Technology, Inc.
Inventor： Hugo Mike Latapie , Franck Bachet , Enzo Fenoglio , Sawsen Rezig , Carlos M. Pignataro , Guillaume Sauvage De Saint Marc
Abstract: Systems, methods, and computer-readable for multi-temporal scale analysis include obtaining two or more timescales associated with one or more images. A context associated with a monitoring objective is obtained, based on real time analytics or domain specific knowledge. The monitoring objective can include object detection, event detection, pattern recognition, or other. At least a subset of timescales for performing a differential analysis on the one or more images is determined based on the context. Multi timescale surprise detection and clustering are performed using the subset of timescales to determine whether any alerts are to be generated based on entropy based surprises. A set of rules can be created for the monitoring objective based on the differential analytics and alerts or entropy based surprises, if any.
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3.发明授权公开(公告)号：US10887197B2
公开(公告)日：2021-01-05
申请号：US16365096
申请日：2019-03-26
Applicant: Cisco Technology, Inc.
Inventor： Enzo Fenoglio , Hugo M. Latapie , Kenneth Gray , Sawsen Rezig , David Delano Ward
Abstract: In one embodiment, a network quality assessment service that monitors a network obtains multimodal data indicative of a plurality of measurements from the network and subjective perceptions of the network by users of the network. The network quality assessment service uses the obtained multimodal data as input to one or more neural network-based models. The network quality assessment service maps, using a conceptual space, outputs of the one or more neural network-based models to symbols. The network quality assessment service applies a symbolic reasoning engine to the symbols, to generate a conclusion regarding the monitored network. The network quality assessment service provides an indication of the conclusion to a user interface.
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公开(公告)号：US10742678B2
公开(公告)日：2020-08-11
申请号：US15891749
申请日：2018-02-08
Applicant: Cisco Technology, Inc.
Inventor： Manikandan Kesavan , Plamen Nedeltchev , Hugo Latapie , Enzo Fenoglio
Abstract: In one embodiment, a security device maintains a plurality of security enclaves for a computer network, each associated with a given level of security policies. After detecting a given device joining the computer network, the security device places the given device in a strictest security enclave of the plurality of security enclaves in response to joining the computer network. The security device then subjects the given device to joint adversarial training, where a control agent representing behavior of the given device is trained against an inciting agent, and where the inciting agent attempts to force the control agent to misbehave by applying destabilizing policies. Accordingly, the security device may determine control agent behavior during the joint adversarial training, and promotes the given device to a less strict security enclave of the plurality of enclaves in response to the control agent being robust against the attempts by the inciting agent.
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公开(公告)号：US20200218751A1
公开(公告)日：2020-07-09
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: G06F16/36 , H04L12/24 , G06F16/33 , G06F16/9535
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.
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Patent Agency Ranking
公开(公告)号：US20180246873A1
公开(公告)日：2018-08-30
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
CPC classification number: G06F17/274 , 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.
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公开(公告)号：US20180033024A1
公开(公告)日：2018-02-01
申请号：US15221844
申请日：2016-07-28
Applicant: Cisco Technology, Inc.
Inventor： Hugo Mike Latapie , Enzo Fenoglio , Andre Jean-Marie Surcouf , Joseph T. Friel
CPC classification number: G06Q30/0201 , G06K9/00335 , G06K9/00744 , G06K9/00778 , G06N3/0445 , G06N3/084
Abstract: In one embodiment, a method includes obtaining a plurality of tracklets, each of the plurality of tracklets including tracklet data representing a position of a respective one of a plurality of people at a plurality of times. The method includes generating a behavioral analytic metric based on the plurality of tracklets. The method includes generating a notification in response to determining that the behavioral analytic metric is greater than a threshold.
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8.发明授权Dynamic scaling for multi-tiered distributed systems using payoff optimization of application classes 有权使用应用程序类的收益优化的多层分布式系统的动态缩放公开(公告)号：US09386086B2
公开(公告)日：2016-07-05
申请号：US14023686
申请日：2013-09-11
Applicant: Cisco Technology Inc.
Inventor： Enzo Fenoglio , Andre Surcouf , Fabien Andrieux
CPC classification number: H04L67/1008 , G06F9/505 , G06F2209/5019
Abstract: In one embodiment, a method is described. The method includes: monitoring workloads of a plurality of application classes, each of the application classes describing services provided by one or more applications in a multi-tiered system and comprising a plurality of instantiated execution resources; estimating, for each of the application classes, a number of execution resources able to handle the monitored workloads, to simultaneously maintain a multi-tiered system response time below a determined value and minimize a cost per execution resource; and dynamically adjusting the plurality of instantiated execution resources for each of the application classes based on the estimated number of execution resources.
Abstract translation: 在一个实施例中，描述了一种方法。 该方法包括：监视多个应用类的工作负荷，每个应用类描述由多层系统中的一个或多个应用提供的服务并且包括多个实例化的执行资源; 针对每个应用类别估计能够处理所监视的工作负载的多个执行资源，同时将多层系统响应时间维持在低于确定的值并最小化每个执行资源的成本; 并且基于所估计的执行资源数量动态地调整针对每个应用类的多个实例执行资源。
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公开(公告)号：US11966413B2
公开(公告)日：2024-04-23
申请号：US16811806
申请日：2020-03-06
Applicant: Cisco Technology, Inc.
Inventor： Hugo Latapie , Enzo Fenoglio , Carlos M. Pignataro , Nagendra Kumar Nainar , David Delano Ward
Abstract: In one embodiment, a first deep fusion reasoning engine (DFRE) agent in a network receives first sensor data from a first set of one or more sensors in the network. The first DFRE agent translates the first sensor data into symbolic data. The first DFRE agent applies, using a symbolic knowledge base maintained by the first DFRE agent, symbolic reasoning to the symbolic data to make an inference regarding the first sensor data. The first DFRE agent updates, based on the inference regarding the first sensor data, the knowledge base. The first DFRE agent propagates the inference to one or more other DFRE agents in the network.
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公开(公告)号：US11580747B2
公开(公告)日：2023-02-14
申请号：US17339390
申请日：2021-06-04
Applicant: Cisco Technology, Inc.
Inventor： Hugo Mike Latapie , Franck Bachet , Enzo Fenoglio , Sawsen Rezig , Carlos M. Pignataro , Guillaume Sauvage De Saint Marc
Abstract: Systems, methods, and computer-readable for multi-spatial scale object detection include generating one or more object trackers for tracking at least one object detected from on one or more images. One or more blobs are generated for the at least one object based on tracking motion associated with the at least one object. One or more tracklets are generated for the at least one object based on associating the one or more object trackers and the one or more blobs, the one or more tracklets including one or more scales of object tracking data for the at least one object. One or more uncertainty metrics are generated using the one or more object trackers and an embedding of the one or more tracklets. A training module for detecting and tracking the at least one object using the embedding and the one or more uncertainty metrics is generated using deep learning techniques.
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