公开(公告)号：US11615703B2

公开(公告)日：2023-03-28

申请号：US17648170

申请日：2022-01-17

Applicant: Intel Corporation

Inventor： Hassnaa Moustafa ,  Subramanian Anandaraj ,  Srivathsan Soundararajan ,  Ana Lucia A. Pinheiro ,  Jithin Sankar Sankaran Kutty

IPC: G08G1/01 ,  G08G1/09 ,  G05D1/02 ,  G05D1/00 ,  G06F16/29 ,  G08G1/0967 ,  G08G1/0968 ,  G01C21/00

Abstract: Technologies for managing interoperable high definition (HD) maps for autonomous vehicles includes a HD map server to distribute interoperable HD map tiles to various autonomous vehicles, each of which may be configured to utilize proprietary HD map tiles of different propriety formats. As such, each of the autonomous vehicles is configured to translate the interoperable HD map tile to the proprietary format used by that particular vehicle. Additionally, each autonomous vehicle may submit crowd-sourced sensor data to the interoperable HD map server using a universal data set by converting the sensor data to a universal data structure.

公开(公告)号：US20220335340A1

公开(公告)日：2022-10-20

申请号：US17856759

申请日：2022-07-01

Applicant: Intel Corporation

Inventor： Hassnaa Moustafa ,  Stanley T. Mo ,  Rita Wouhaybi ,  Eve Schooler ,  Samudyatha C. Kaira ,  Greeshma Pisharody

IPC: G06N20/00 ,  G06F9/50 ,  G06K9/62 ,  G06F11/30

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for data usage monitoring to identify and mitigate ethical divergence. Disclosed example apparatus are to orchestrate resources in an edge environment based on ingested network traffic on an edge network, the ingested network traffic associated with a source node that is to source a target data stream and a target artificial intelligence (AI) application node that is to consume at least a portion of the target data stream. Disclosed example apparatus are also to execute a machine learning model based on the ingested network traffic to generate one or more outputs including at least one a first value representative of a data stream characteristic or a second value representative of an AI application node characteristic, determine the one or more outputs satisfy a threshold value, and generate an alert in response to the one or more outputs satisfying the threshold value.

公开(公告)号：US20220324101A1

公开(公告)日：2022-10-13

申请号：US17850536

申请日：2022-06-27

Applicant: Intel Corporation

Inventor： Rita H. Wouhaybi ,  Hassnaa Moustafa

IPC: B25J9/16

Abstract: System and techniques for cumulative learning robot execution plan generation are described herein. A first execution plan report based on execution of a first execution plan by a first robot may be received. Here, the first execution plan report includes a first metric for a first operation of the first execution plan. A second execution plan report based on execution of a second execution plan by a second robot may also be received that includes a second metric for a second operation of the second execution plan. Here, the second operation corresponds to the first operation. The first metric and the second metric are analyzed to determine that the second operation is an improvement to the first operation. Then, a modified first execution plan that replaces the first operation with the second operation may be transmitted to the first robot.

公开(公告)号：US11292133B2

公开(公告)日：2022-04-05

申请号：US16145796

申请日：2018-09-28

Applicant: Intel Corporation

Inventor： Rita H. Wouhaybi ,  Shekoufeh Qawami ,  Hassnaa Moustafa ,  Chaitanya Sreerama ,  Nadine L. Dabby

IPC: G05B19/04 ,  B25J9/16 ,  G06N3/08 ,  G06N5/04 ,  G06N20/00 ,  G06N3/04 ,  G06N3/00

Abstract: Methods and apparatus to train interdependent autonomous machines are disclosed. An example method includes performing an action of a first sub-task of a collaborative task with a first collaborative robot in a robotic cell while a second collaborative robot operates in the robotic cell according to a first recorded action of the second collaborative robot, the first recorded action of the second collaborative robot recorded while a second robot controller associated with the second collaborative robot is trained to control the second collaborative robot to perform a second sub-task of the collaborative task, and training a first robot controller associated with the first collaborative robot based at least on a sensing of an interaction of the first collaborative robot with the second collaborative robot while the action of the first sub-task is performed by the first collaborative robot and the second collaborative robot operates according to the first recorded action.

公开(公告)号：US20210377279A1

公开(公告)日：2021-12-02

申请号：US17347370

申请日：2021-06-14

Applicant: Intel Corporation

Inventor： Katalin Bartfai-Walcott ,  John Walcott ,  Hassnaa Moustafa

IPC: H04L29/06 ,  H04W12/06 ,  H04L29/08 ,  H04W12/00 ,  H04W12/63 ,  H04W12/60

Abstract: Systems, methods, and computer-readable media are provided for managing mutual and transitive trust relationships between resources, such as Fog/Edge nodes, autonomous devices (e.g., IoT devices), and/or analog/biological resources to provide collaborative, trusted communication over a network for service delivery. Disclosed embodiments include a subject resource configured to assign an observed resource to a trust zone based on situational and contextual information. The situational information may indicate a vector of the observed resource with respect to the subject resource. The contextual information may be based in part on whether a relationship exists between the subject resource and the observed resource. The subject resource is configured to determine a trust level of the observed resource based on the determined trust zone. Other embodiments are disclosed and/or claimed.

公开(公告)号：US11151866B2

公开(公告)日：2021-10-19

申请号：US16267648

申请日：2019-02-05

Applicant: Intel Corporation

Inventor： Hassnaa Moustafa ,  Subramanian Anandaraj ,  Ana Lucia Pinheiro ,  Patricia Robb ,  Jithin Sankar Sankaran Kutty

IPC: G08G1/01 ,  G01C21/32 ,  G06F16/29 ,  G06F16/23

Abstract: System and techniques for enhanced electronic navigation maps for a vehicle are described herein. A set of map tiles may be received at a vehicle component from a remote entity. Sensor derived data that has a locality corresponding to a map tile in the set of map tiles may be obtained. A field-programmable gate array of the vehicle may then be invoked to combine the sensor derived data and the map tile to create a modified map tile. The modified map tile may be communicated to a control system of the vehicle.

公开(公告)号：US11044309B2

公开(公告)日：2021-06-22

申请号：US16454836

申请日：2019-06-27

Applicant: Intel Corporation

Inventor： Satish Chandra Jha ,  Kathiravetpillai Sivanesan ,  Ned M. Smith ,  Srikathyayani Srikanteswara ,  Eve M. Schooler ,  Jeffrey Christopher Sedayao ,  Stepan Karpenko ,  Venkatesan Nallampatti Ekambaram ,  S. M. Iftekharul Alam ,  Kuilin Clark Chen ,  Yi Zhang ,  Gabriel Arrobo Vidal ,  Jessica C. McCarthy ,  Maruti Gupta Hyde ,  Hassnaa Moustafa

IPC: H04L29/08 ,  H04L12/935 ,  H04L12/733 ,  G06F21/10 ,  G06F21/60 ,  H04L9/30

Abstract: Techniques are provided for optimizing the operations of an ICN, particularly for an ICN with clustered nodes. A cluster head node may function as an orchestrator and a coordinator for efficient caching, routing, and computing and for co-existence of ICN and IP nodes in the network. A content store of an ICN router may include an indication of the time after which data expires and the new data is to be swapped in place of the expired data after that point in time. Digital rights management (DRM) enforcement is provided by managing access to a DRM engine in at least one of the ICN nodes in a cluster. Congestion control is provided by minimizing the number of ICN scoped interest requests and thereby minimizing the potentially high volume of data responses. These techniques optimize interest packet forwarding and processing through collaboration with neighboring ICN nodes.

公开(公告)号：US10785341B2

公开(公告)日：2020-09-22

申请号：US15414462

申请日：2017-01-24

Applicant: Intel Corporation

Inventor： Sebastian Schoenberg ,  Andrew Stephen Brown ,  Srikathyayani Srikanteswara ,  Jessica C. McCarthy ,  Eve M. Schooler ,  Christian Maciocco ,  Hassnaa Moustafa ,  Nageen Himayat ,  Rath Vannithamby ,  David John Zage

IPC: H04L29/08 ,  G06F16/23 ,  H04L12/24 ,  G06F16/957 ,  H04L12/26 ,  H04L29/06 ,  H04L12/841 ,  H04L12/773 ,  H04L12/741 ,  H04L12/813 ,  H04L29/12 ,  H04L12/721 ,  H04L12/911 ,  H04L12/715

Abstract: Generally discussed herein are systems, devices, and methods for populating a cache in an information-centric network. A device of an ICN can include a content store including published content and attributes of the published content stored thereon, the attributes including at least two of a device from which the content originated attribute, a lineage attribute, and a service level agreement attribute, and content processing circuitry coupled to the content store, the content processing circuitry configured to manage the published content based on the attributes.

公开(公告)号：US20200250003A1

公开(公告)日：2020-08-06

申请号：US16652038

申请日：2018-06-29

Applicant: Intel Corporation

Inventor： Shao-Wen Yang ,  Yen-Kuang Chen ,  Ragaad Mohammed Irsehid Altarawneh ,  Juan Pablo Munoz Chiabrando ,  Siew Wen Chin ,  Kushal Datta ,  Subramanya R. Dulloor ,  Julio C. Zamora Esquivel ,  Omar Ulises Florez Choque ,  Vishakha Gupta ,  Scott D. Hahn ,  Rameshkumar Illikkal ,  Nilesh Kumar Jain ,  Siti Khairuni Amalina Kamarol ,  Anil S. Keshavamurthy ,  Heng Kar Lau ,  Jonathan A. Lefman ,  Yiting Liao ,  Michael G. Millsap ,  Ibrahima J. Ndiour ,  Luis Carlos Maria Remis ,  Addicam V. Sanjay ,  Usman Sarwar ,  Eve M. Schooler ,  Ned M. Smith ,  Vallabhajosyula S. Somayazulu ,  Christina R. Strong ,  Omesh Tickoo ,  Srenivas Varadarajan ,  Jesús A. Cruz Vargas ,  Hassnaa Moustafa ,  Arun Raghunath ,  Katalin Klara Bartfai-Walcott ,  Maruti Gupta Hyde ,  Deepak S. Vembar ,  Jessica McCarthy

IPC: G06F9/50 ,  G06K9/00 ,  G06N3/04 ,  G06N3/063

Abstract: In one embodiment, an apparatus comprises a processor to: identify a workload comprising a plurality of tasks; generate a workload graph based on the workload, wherein the workload graph comprises information associated with the plurality of tasks; identify a device connectivity graph, wherein the device connectivity graph comprises device connectivity information associated with a plurality of processing devices; identify a privacy policy associated with the workload; identify privacy level information associated with the plurality of processing devices; identify a privacy constraint based on the privacy policy and the privacy level information; and determine a workload schedule, wherein the workload schedule comprises a mapping of the workload onto the plurality of processing devices, and wherein the workload schedule is determined based on the privacy constraint, the workload graph, and the device connectivity graph. The apparatus further comprises a communication interface to send the workload schedule to the plurality of processing devices.

公开(公告)号：US20200059529A1

公开(公告)日：2020-02-20

申请号：US16362946

申请日：2019-03-25

Applicant: Intel Corporation

Inventor： Hassnaa Moustafa ,  Eve M. Schooler ,  David John Zage ,  Jeffrey C. Sedayao ,  David E. Cohen ,  Sung Lee

IPC: H04L29/08 ,  H04L29/06 ,  H04L12/715 ,  H04L12/911 ,  H04L12/721 ,  H04L29/12 ,  H04L12/26 ,  H04L12/24 ,  H04L12/813 ,  H04L12/741 ,  H04L12/773 ,  H04L12/841 ,  G06F16/957 ,  G06F16/23

Abstract: Generally discussed herein are systems, devices, and methods for data management in a reverse content data network (rCDN). A component of the rCDN may include a memory to hold content received from a first sensor device of a plurality of sensor devices of the rCDN and first attributes that describe properties of the content. The component may include processing circuitry to receive second content from a second sensor device of the plurality of sensor devices, the second content including a plurality of second attributes that describe properties of the second content, and forward, in response to a determination, based on the first and second attributes, that there is insufficient space to store the second content on the memory, the second content to a node of the rCDN that is fewer hops away from a backend cloud than the component.