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公开(公告)号:US11704601B2
公开(公告)日:2023-07-18
申请号:US16716018
申请日:2019-12-16
Applicant: Intel Corporation
Inventor: Mikhail Averbukh , Mohammad R. Haghighat
IPC: G06N20/20 , G06F17/18 , G06F18/214 , G06F18/243 , G06N5/01
CPC classification number: G06N20/20 , G06F17/18 , G06F18/214 , G06F18/24323 , G06N5/01
Abstract: Systems, apparatuses and methods may provide for technology that generates inclusion data in accordance with a Poisson distribution, wherein the inclusion data specifies a number of inclusions for each observation in a set of observations. The technology may also train a first decision tree in a random forest based at least in part on the inclusion data.
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公开(公告)号:US09973527B2
公开(公告)日:2018-05-15
申请号:US14359969
申请日:2013-11-19
Applicant: Intel Corporation
Inventor: Abhilasha Bhargav-Spantzel , John B. Vicente , Mohammad R. Haghighat , Oliver W. Chen , Hormuzd M. Khosravi , Uri Kahana
CPC classification number: H04L63/1441 , G06F3/0484 , G06F17/30864 , G06F21/552 , G06F21/577 , G06F2221/2105
Abstract: This disclosure is directed to a context-aware proactive threat management system. In general, a device may use internal activity data along with data about external activities (e.g., provided by remote resources) for threat assessment and mitigation. A device may comprise, for example, a hostile environment detection (HED) module to coordinate threat assessment and mitigation. The HED module may accumulate internal activity data (e.g., from security services in the device), and external activity data regarding a system environment and/or a physical environment from the remote resources. The HED module may then assess threats based on the activity data and determine automated and/or manual mitigation operations to respond to the threats. In one embodiment, visualization features may also be used to, for example, visualize threats to a user, visualize automatic/manual mitigation operations, request user confirmation regarding the performance of manual mitigation operations, etc.
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公开(公告)号:US12167014B2
公开(公告)日:2024-12-10
申请号:US17996997
申请日:2020-05-22
Applicant: INTEL CORPORATION
Inventor: Changliang Wang , Mohammad R. Haghighat , Wei Hu , Tao Xu , Tianmi Chen , Bin Yang , Jia Bao , Raul Diaz
IPC: H04N7/12 , H04N19/172 , H04N19/46 , H04N19/85
Abstract: Systems, apparatuses and methods may provide for source device technology that identifies a plurality of object regions in a video frame, automatically generates context information for the video frame on a per-object region basis and embeds the context information in a signal containing the video frame. Additionally, playback device technology may decode a signal containing a video frame and embedded context information, identifies a plurality of object regions in the video frame based on the embedded context information, and automatically selects one or more post-processing configurations for the video frame on a per-object region basis.
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公开(公告)号:US20220326921A1
公开(公告)日:2022-10-13
申请号:US17639809
申请日:2019-10-08
Applicant: Intel Corporation
Inventor: Shiyu Zhang , Junyong Ding , Tianyou LI , Mohammad R. Haghighat
Abstract: Systems, apparatuses and methods may provide for technology that generates a first compiler output based on input code that includes dynamically typed variable information and generates a second compiler output based on the input code, wherein the second compiler output includes type check code to verify one or more type inferences associated with the first compiler output. The technology may also execute the first compiler output and the second compiler output in parallel via different threads.
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公开(公告)号:US20220318943A1
公开(公告)日:2022-10-06
申请号:US17057484
申请日:2019-12-20
Applicant: Intel Corporation
Inventor: Changliang Wang , Mohammad R. Haghighat , Yong Yao , Xiaocheng Mao , Yifei Xue , Bin Yang , Jia Bao , Raul Diaz
IPC: G06T1/20
Abstract: Systems, apparatuses and methods may provide for technology that sends a first message via an input output (IO) link, wherein the first message includes a first rendering asset and an identifier (ID) associated with the first rendering asset. The technology may also exclude a second rendering asset from a second message in response to the ID being shared by the first rendering asset and the second rendering asset and send the second message via the IO link, wherein the second message includes the ID. In one example, the ID is a hash ID.
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公开(公告)号:US12045677B2
公开(公告)日:2024-07-23
申请号:US16722811
申请日:2019-12-20
Applicant: Intel Corporation
Inventor: Sara Baghsorkhi , Mohammad R. Haghighat
CPC classification number: G06F9/547 , G06F9/4856 , G06F9/5088 , G06F9/541 , G06F2209/501
Abstract: Systems, apparatuses and methods may provide for technology that detects a generic cloud service call in an application, wherein platform-specific parameters are unspecified in the cloud service call. The technology may also select a first cloud platform based on one or more performance constraints associated with the first cloud platform and automatically generate a first platform-specific service call based on the cloud service call and the first set of parameters. In one example, the technology also maps the cloud service call to the first platform-specific service call. Additionally, the technology may migrate the cloud service call to a second cloud platform without rewriting the generic cloud service call.
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公开(公告)号:US20230289243A1
公开(公告)日:2023-09-14
申请号:US18305683
申请日:2023-04-24
Applicant: Intel Corporation
Inventor: Sara Baghsorkhi , Mohammad R. Haghighat
Abstract: Systems, apparatuses and methods may provide for technology that detects a tensor operation in an application, wherein the tensor operation has an unspecified tensor input size, determines the input tensor size at runtime, and selects a partition configuration for the tensor operation based at least in part on the input tensor size and one or more runtime conditions. In one example, the technology searches a lookup table for the input tensor size and at least one of the runtime condition(s) to select the partition configuration.
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公开(公告)号:US09171103B2
公开(公告)日:2015-10-27
申请号:US14036607
申请日:2013-09-25
Applicant: Intel Corporation
Inventor: Mohammad R. Haghighat , Knud J. Kirkegaard
CPC classification number: G06F17/30958 , G06F9/30021 , G06F9/3004 , G06F9/30087 , G06F9/52 , G06F9/526 , G06F17/30348
Abstract: A method of adding an element to a data structure may include atomically associating the element with the data structure if the element is not associated with the data structure. The element may be prepared for insertion into a location in the data structure. The method may also include atomically inserting the element into the location in the data structure if another element has not been inserted into the location.
Abstract translation: 如果元素不与数据结构相关联,则向数据结构添加元素的方法可以包括将元素与数据结构原子相关联。 元件可以准备用于插入数据结构中的位置。 该方法还可以包括将元素原子地插入数据结构中的位置,如果另一元素未被插入该位置。
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公开(公告)号:US12086657B2
公开(公告)日:2024-09-10
申请号:US18305683
申请日:2023-04-24
Applicant: Intel Corporation
Inventor: Sara Baghsorkhi , Mohammad R. Haghighat
Abstract: Systems, apparatuses and methods may provide for technology that detects a tensor operation in an application, wherein the tensor operation has an unspecified tensor input size, determines the input tensor size at runtime, and selects a partition configuration for the tensor operation based at least in part on the input tensor size and one or more runtime conditions. In one example, the technology searches a lookup table for the input tensor size and at least one of the runtime condition(s) to select the partition configuration.
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公开(公告)号:US11663056B2
公开(公告)日:2023-05-30
申请号:US16722798
申请日:2019-12-20
Applicant: Intel Corporation
Inventor: Sara Baghsorkhi , Mohammad R. Haghighat
Abstract: Systems, apparatuses and methods may provide for technology that detects a tensor operation in an application, wherein the tensor operation has an unspecified tensor input size, determines the input tensor size at runtime, and selects a partition configuration for the tensor operation based at least in part on the input tensor size and one or more runtime conditions. In one example, the technology searches a lookup table for the input tensor size and at least one of the runtime condition(s) to select the partition configuration.
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