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公开(公告)号：US11475369B2
公开(公告)日：2022-10-18
申请号：US16457365
申请日：2019-06-28
Applicant: Intel Corporation
Inventor： Marcos Emanuel Carranza , Cesar Martinez-Spessot , Mats Agerstam , Maria Ramirez Loaiza , Alexander Heinecke , Justin Gottschlich
Abstract: Methods, apparatus, systems and articles of manufacture to provide machine assisted programming are disclosed. An example apparatus includes a feature extractor to convert compiled code into a first feature vector; a first machine leaning model to identify a cluster of stored feature vectors corresponding to the first feature vector; and a second machine learning model to recommend a second algorithm corresponding to a second feature vector of the cluster based on a comparison of a parameter of a first algorithm corresponding to the first feature vector and the parameter of the second algorithm.
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公开(公告)号：US20230128680A1
公开(公告)日：2023-04-27
申请号：US18069178
申请日：2022-12-20
Applicant: Intel Corporation
Inventor： Marcos Emanuel Carranza , Cesar Martinez-Spessot , Mats Agerstam , Maria Ramirez Loaiza , Alexander Heinecke , Justin Gottschlich
IPC: G06N20/10 , G06F18/213 , G06F18/232 , G06F8/41 , G06N20/20
Abstract: Methods, apparatus, systems and articles of manufacture to provide machine assisted programming are disclosed. An example apparatus includes processor circuitry to execute computer readable instructions to: execute a machine learning model to generate a first code recommendation for programming code, the first code recommendation being associated with security of the programming code; cause output of the first code recommendation via a user interface; update the machine learning model based on feedback obtained via the user interface; determine a performance of the programming code; generate a second code recommendation, the second code recommendation being associated with the performance of the programming code; and cause output of the second code recommendation via the user interface.
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公开(公告)号：US20220255867A1
公开(公告)日：2022-08-11
申请号：US17442525
申请日：2020-05-01
Applicant: Intel Corporation
Inventor： Gabriel Arrobo Vidal , Maria Ramirez Loaiza , Zongrui Ding , Qian Li , Geng Wu
IPC: H04L47/2441 , H04L69/22 , H04W28/02
Abstract: Systems and methods for enabling quality-of-service (QoS) within information centric networking (ICN) networks include receiving, at a network node of an ICN network, an interest packet including a name field and a quality-of-service (QoS) field, the QoS field including at least one QoS parameter. The network node is configured to extract the at least one QoS parameter and a name from the interest packet and forward the interest packet from the network node based on both the name and the QoS parameter.
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公开(公告)号：US11184457B2
公开(公告)日：2021-11-23
申请号：US16455442
申请日：2019-06-27
Applicant: Intel Corporation
Inventor： Ned M. Smith , Srikathyayani Srikanteswara , Kathiravetpillai Sivanesan , Eve M. Schooler , Satish Chandra Jha , Stepan Karpenko , Zongrui Ding , S M Iftekharul Alam , Yi Zhang , Kuilin Clark Chen , Gabriel Arrobo Vidal , Qian Li , Maria Ramirez Loaiza
IPC: G06F15/173 , H04L29/08 , H04L12/751 , H04L12/24 , H04L12/14
Abstract: Systems and techniques for information-centric network data cache management are described herein. A demand metric may be calculated for a content item requested from an information-centric network (ICN). A resistance metric may be calculated for each cache node of a set of cache nodes in the ICN based on the demand metric. A topology of the set of cache nodes may be evaluated to identify a transmission cost for each cache node of the set of cache nodes. An influencer node may be selected from the set of cache nodes based on the resistance metric for the influencer node and the transmission cost for the influencer node. The content item may be cached in a data cache of the influencer node.
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公开(公告)号：US11006310B2
公开(公告)日：2021-05-11
申请号：US16456913
申请日：2019-06-28
Applicant: Intel Corporation
Inventor： S. M. Iftekharul Alam , Maria Ramirez Loaiza , Gabriel Arrobo Vidal , Satish Chandra Jha , Ravikumar Balakrishnan
Abstract: Systems and techniques for node-density aware interest packet forwarding in a dynamic ad hoc information centric network (ICN) are described herein. For example, a next interest packet to forward may be obtained at a network node. A time period to hold the next interest packet before forwarding may be calculated based on node density in the network. The node may then broadcast the next interest packet upon expiration of a timer set to the time period and started when the next interest packet was obtained.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20190324727A1
公开(公告)日：2019-10-24
申请号：US16455358
申请日：2019-06-27
Applicant: Intel Corporation
Inventor： Marcos Carranza , Mats Agerstam , Justin Gottschlich , Alexander Heinecke , Cesar Martinez-Spessot , Maria Ramirez Loaiza , Mohammad Mejbah Ul Alam , Shengtian Zhou
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for code review assistance for dynamically typed languages. An example apparatus to analyze a segment of code includes a function identifier to identify a first input of a first function call included in the segment of the code, a parameter type vector (PTV) estimatior model to estimate a first data structure based on the first input, the PTV estimatior model generated via a set of reviewed code, a PTV determiner to generate a second data structure based on a data parameter type of the first input, an error comparator to determine a first reconstruction error based on the first data structure, and the second data structure and a recommendation generator to, if the first reconstruction error does not satisfy a recommendation threshold, generate a first recommendation to review the first function call.
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公开(公告)号：US20230039377A1
公开(公告)日：2023-02-09
申请号：US17967830
申请日：2022-10-17
Applicant: Intel Corporation
Inventor： Marcos Emanuel Carranza , Cesar Martinez-Spessot , Mats Agerstam , Maria Ramirez Loaiza , Alexander Heinecke , Justin Gottschlich
Abstract: Methods, apparatus, systems and articles of manufacture to provide machine assisted programming are disclosed. An example apparatus includes a feature extractor to convert compiled code into a first feature vector; a first machine leaning model to identify a cluster of stored feature vectors corresponding to the first feature vector; and a second machine learning model to recommend a second algorithm corresponding to a second feature vector of the cluster based on a comparison of a parameter of a first algorithm corresponding to the first feature vector and the parameter of the second algorithm.
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公开(公告)号：US10912105B2
公开(公告)日：2021-02-02
申请号：US16367870
申请日：2019-03-28
Applicant: INTEL CORPORATION
Inventor： Gabriel Arrobo Vidal , Vijay Sarathi Kesavan , Maria Ramirez Loaiza
IPC: H04W72/12 , H04N21/4363 , H04N21/647 , H04N21/262 , H04W80/02 , H04W8/24 , H04N21/4402 , H04N21/845
Abstract: For example, an apparatus may include logic and circuitry configured to cause a wireless communication device to determine at least one video quality parameter representing an estimated quality of at least one video stream to be streamed via the wireless communication device to a display device over a wireless communication medium; to determine a scheduling policy parameter based at least on the video quality parameter; and to provide the scheduling policy parameter to a Media Access Control (MAC) scheduler to schedule wireless transmission of the at least one video stream to the display device.
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公开(公告)号：US20190318366A1
公开(公告)日：2019-10-17
申请号：US16453649
申请日：2019-06-26
Applicant: Intel Corporation
Inventor： Marcos Carranza , Brian Cremeans , Krishna Surya , Mats Agerstam , Shengtian Zhou , Maria Ramirez Loaiza , Cesar Martinez-Spessot , Mohammad Mejbah ul Alam , Dario Oliver , Justin Gottschlich
Abstract: An apparatus includes a feature extractor to extract features from input data, the features including descriptive information corresponding to a function of the input data, an inference generator to classify the features into a group indicative of a semantic property, a programming pattern, or a compliance type of the function of the input data, assign a cluster identifier to the features based on a prediction that the features are classified into the group, and retrieve solutions from a database that correspond to the cluster identifier, and a suggestion determiner to generate a suggestion list by building a pool of suggestions to present to a user.
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公开(公告)号：US11637772B2
公开(公告)日：2023-04-25
申请号：US16457480
申请日：2019-06-28
Applicant: Intel Corporation
Inventor： Venkatesan Nallampatti Ekambaram , Satish Chandra Jha , Ned M. Smith , S. M. Iftekharul Alam , Maria Ramirez Loaiza , Yi Zhang , Gabriel Arrobo Vidal
Abstract: Systems and techniques for machine generation of content names in an information centric network (ICN) are described herein. For example, a node may obtain content. An inference engine may be invoked to produce a name for the content. Once the content is named, the node may respond to an interest packet that includes the name of the content. The response is a data packet that includes the content.
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