公开(公告)号：US12061930B2

公开(公告)日：2024-08-13

申请号：US17033200

申请日：2020-09-25

Applicant: Intel Corporation

Inventor： Katalin Klara Bartfai-Walcott ,  Mark Baldwin ,  Arkadiusz Berent ,  Bartosz Gotowalski ,  Vasuki Chilukuri ,  Vasudevan Srinivasan ,  Justyna Chilczuk ,  Vinila Rose ,  Mariusz Oriol

IPC: G06Q10/10 ,  G06F9/50 ,  G06F21/10 ,  G06F21/72 ,  G06F21/73 ,  G06Q20/12 ,  G06Q30/018 ,  G06Q30/0601 ,  G06Q50/04 ,  G06Q50/18 ,  H04L9/08 ,  H04L9/32

CPC classification number: G06F9/5027 ,  G06F21/105 ,  G06F21/72 ,  G06F21/73 ,  G06Q10/10 ,  G06Q20/1235 ,  G06Q20/127 ,  G06Q30/0609 ,  G06Q50/184 ,  H04L9/0861 ,  H04L9/321 ,  H04L9/3263 ,  H04L9/3268 ,  G05B2219/2205 ,  G05B2219/25395 ,  G05B2219/33088 ,  G06F21/1011 ,  G06F2209/501 ,  G06F2209/504 ,  G06F2209/506 ,  G06F2221/2149 ,  G06Q30/0185 ,  G06Q50/04 ,  G06Q2220/18 ,  H04L9/3278

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to implement software defined silicon feature licensing are disclosed. Example licensor systems disclosed herein includes a third party verifier to verify one or more credentials included in a request to become an authorized delegated licensor, the request received from a third party. Disclosed example licensor systems also include a feature identifier to identify a feature of a silicon structure which the third party is to be granted the authority to license. Disclosed example licensor systems further include a configuration installation code generator to generate feature configuration installation code, the feature configuration installation code to be used by the third party to generate at least a portion of the license, the portion of the license to be used by a licensee to configure the silicon structure to access the licensed feature, and contents of the feature configuration installation code encrypted to prevent access by the authorized delegated licensor.

公开(公告)号：US11887360B2

公开(公告)日：2024-01-30

申请号：US17497287

申请日：2021-10-08

Applicant: Intel Corporation

Inventor： Shao-Wen Yang ,  Eve M. Schooler ,  Maruti Gupta Hyde ,  Hassnaa Moustafa ,  Katalin Klara Bartfai-Walcott ,  Yen-Kuang Chen ,  Jessica McCarthy ,  Christina R. Strong ,  Arun Raghunath ,  Deepak S. Vembar

IPC: G06V10/82 ,  G06F9/50 ,  G06F21/60 ,  G06V10/44 ,  G06V20/52 ,  G06V40/10 ,  G06F18/241 ,  G06V10/764 ,  G06Q50/26 ,  G08G1/09 ,  G11B27/031 ,  H04N7/18 ,  G08G1/087 ,  G06F9/48 ,  G06F21/62 ,  G06F18/2413 ,  G08G1/01

CPC classification number: G06V10/82 ,  G06F9/4881 ,  G06F9/505 ,  G06F18/241 ,  G06F18/24133 ,  G06F21/604 ,  G06F21/6245 ,  G06Q50/26 ,  G06V10/44 ,  G06V10/764 ,  G06V20/52 ,  G06V40/103 ,  G08G1/091 ,  G11B27/031 ,  H04N7/181 ,  G06F2209/506 ,  G08G1/0116 ,  G08G1/087

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.

公开(公告)号：US20220100823A1

公开(公告)日：2022-03-31

申请号：US17442541

申请日：2020-09-25

Applicant: Intel Corporation

Inventor： Katalin Klara Bartfai-Walcott ,  Arkadiusz Berent ,  Vasuki Chilukuri ,  Mark Baldwin ,  Vasudevan Srinivasan ,  Naresh Sehgal ,  David Novick ,  Bartosz Gotowalski

IPC: G06F21/10 ,  H04L9/32 ,  G06Q30/04 ,  G06Q10/08

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) for software defined silicon security are disclosed. Example apparatus include a trusted agent determiner to (i) determine respective reputation scores associated with a plurality of agents in a mesh network, the plurality of agents associated with a plurality of semiconductor devices, respective ones of the semiconductor devices including circuitry configurable to provide one or more features, and (ii) select, based on the respective reputation scores, a first agent from the plurality of the agents to transmit a request to activate or deactivate at least one of the one or more features. Example apparatus also include an agent interface to, in response to the request, broadcast an activation or deactivation of the least one of the one or more features to the mesh network to cause the trusted agent determiner to update the reputation score of the first agent.

公开(公告)号：US10719744B2

公开(公告)日：2020-07-21

申请号：US16141812

申请日：2018-09-25

Applicant: Intel Corporation

Inventor： Ned M. Smith ,  Katalin Klara Bartfai-Walcott ,  Eve M. Schooler ,  Shao-Wen Yang

IPC: G06K9/72 ,  G06K9/00 ,  G06T7/11 ,  G06K9/62 ,  G06K9/66 ,  H04N19/176 ,  H04N19/12 ,  H04N19/124 ,  H04N19/513 ,  H04N19/48 ,  H04N19/167 ,  H04N19/172 ,  H04N19/44 ,  G06T7/20

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory stores visual data captured by one or more sensors. The processor detects one or more first objects in the visual data based on a machine learning model and one or more first reference templates. The processor further determines, based on an object ontology, that the visual data is expected to contain a second object, wherein the object ontology indicates that the second object is related to the one or more first objects. The processor further detects the second object in the visual data based on the machine learning model and a second reference template. The processor further determines, based on an inference rule, that the visual data is expected to contain a third object. The processor further detects the third object in the visual data based on the machine learning model and a third reference template.