-
公开(公告)号：US20200051309A1
公开(公告)日：2020-02-13
申请号：US16537140
申请日：2019-08-09
Applicant: Intel Corporation
Inventor： HUGUES LABBE , DARREL PALKE , SHERINE ABDELHAK , JILL BOYCE , VARGHESE GEORGE , SCOTT JANUS , ADAM LAKE , ZHIJUN LEI , ZHENGMIN LI , MIKE MACPHERSON , CARL MARSHALL , SELVAKUMAR PANNEER , PRASOONKUMAR SURTI , KARTHIK VEERAMANI , DEEPAK VEMBAR , VALLABHAJOSYULA SRINIVASA SOMAYAZULU
Abstract: One embodiment provides for a graphics processor comprising a block of graphics compute units, a graphics processor pipeline coupled to the block of graphics compute units, and a programmable neural network unit including one or more neural network hardware blocks. The programmable neural network unit is coupled with the block of graphics compute units and the graphics processor pipeline. The one or more neural network hardware blocks include hardware to perform neural network operations and activation operations for a layer of a neural network. The programmable neural network unit can configure settings of one or more hardware blocks within the graphics processor pipeline based on a machine learning model trained to optimize performance of a set of workloads.
-
公开(公告)号：US20200210472A1
公开(公告)日：2020-07-02
申请号：US16696854
申请日：2019-11-26
Applicant: Intel Corporation
Inventor： BARNAN DAS , MAYURESH M. VARERKAR , NARAYAN BISWAL , STANLEY J. BARAN , GOKCEN CILINGIR , NILESH V. SHAH , ARCHIE SHARMA , SHERINE ABDELHAK , PRANEETHA KOTHA , NEELAY PANDIT , JOHN C. WEAST , MIKE B. MACPHERSON , DUKHWAN KIM , LINDA L. HURD , ABHISHEK R. APPU , ALTUG KOKER , JOYDEEP RAY
IPC: G06F16/583 , G06F16/783 , G06K9/00 , G06K9/62
Abstract: A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.
-
公开(公告)号：US20190332869A1
公开(公告)日：2019-10-31
申请号：US16379176
申请日：2019-04-09
Applicant: Intel Corporation
Inventor： MAYURESH M. VARERKAR , BARNAN DAS , NARAYAN BISWAL , STANLEY J. BARAN , GOKCEN CILINGIR , NILESH V. SHAH , ARCHIE SHARMA , SHERINE ABDELHAK , SACHIN GODSE , FARSHAD AKHBARI , NARAYAN SRINIVASA , ALTUG KOKER , NADATHUR RAJAGOPALAN SATISH , DUKHWAN KIM , FENG CHEN , ABHISHEK R. APPU , JOYDEEP RAY , PING T. TANG , MICHAEL S. STRICKLAND , XIAOMING CHEN , ANBANG YAO , TATIANA SHPEISMAN , VASANTH RANGANATHAN , SANJEEV JAHAGIRDAR
Abstract: A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.
-
Patent Agency Ranking
公开(公告)号：US20230177817A1
公开(公告)日：2023-06-08
申请号：US17966067
申请日：2022-10-14
Applicant: Intel Corporation
Inventor： BARNAN DAS , MAYURESH M. VARERKAR , NARAYAN BISWAL , STANLEY J. BARAN , GOKCEN CILINGIR , NILESH V. SHAH , ARCHIE SHARMA , SHERINE ABDELHAK , PRANEETHA KOTHA , NEELAY PANDIT , JOHN C. WEAST , MIKE B. MACPHERSON , DUKHWAN KIM , LINDA L. HURD , ABHISHEK R. APPU , ALTUG KOKER , JOYDEEP RAY
IPC: G06V10/82 , G06F16/783 , G06F16/583 , G06V10/94 , G06V40/10 , G06V40/20 , G06F18/2413 , G06V10/764
CPC classification number: G06V10/82 , G06F16/784 , G06F16/5838 , G06V10/955 , G06V40/10 , G06V40/23 , G06V40/103 , G06F18/24143 , G06V10/764
Abstract: A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.
-
公开(公告)号：US20220058853A1
公开(公告)日：2022-02-24
申请号：US17500631
申请日：2021-10-13
Applicant: Intel Corporation
Inventor： HUGUES LABBE , DARREL PALKE , SHERINE ABDELHAK , JILL BOYCE , VARGHESE GEORGE , SCOTT JANUS , ADAM LAKE , ZHIJUN LEI , ZHENGMIN LI , MIKE MACPHERSON , CARL MARSHALL , SELVAKUMAR PANNEER , PRASOONKUMAR SURTI , KARTHIK VEERAMANI , DEEPAK VEMBAR , VALLABHAJOSYULA SRINIVASA SOMAYAZULU
Abstract: One embodiment provides for a graphics processor comprising a block of graphics compute units, a graphics processor pipeline coupled to the block of graphics compute units, and a programmable neural network unit including one or more neural network hardware blocks. The programmable neural network unit is coupled with the block of graphics compute units and the graphics processor pipeline. The one or more neural network hardware blocks include hardware to perform neural network operations and activation operations for a layer of a neural network. The programmable neural network unit can configure settings of one or more hardware blocks within the graphics processor pipeline based on a machine learning model trained to optimize performance of a set of workloads.
-
公开(公告)号：US20180300556A1
公开(公告)日：2018-10-18
申请号：US15488555
申请日：2017-04-17
Applicant: Intel Corporation
Inventor： MAYURESH M. VARERKAR , BARNAN DAS , NARAYAN BISWAL , STANLEY J. BARAN , GOKCEN CILINGIR , NILESH V. SHAH , ARCHIE SHARMA , SHERINE ABDELHAK , SACHIN GODSE , FARSHAD AKHBARI , NARAYAN SRINIVASA , ALTUG KOKER , NADATHUR RAJAGOPALAN SATISH , DUKHWAN KIM , FENG CHEN , ABHISHEK R. APPU , JOYDEEP RAY , PING T. TANG , MICHAEL S. STRICKLAND , XIAOMING CHEN , ANBANG YAO , TATIANA SHPEISMAN , Vasanth Ranganathan , Sanjeev Jahagirdir
CPC classification number: G06K9/00771 , G06K9/00362 , G06K9/00711 , G06K2009/00738 , G06T1/20
Abstract: A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.
-
公开(公告)号：US20230360307A1
公开(公告)日：2023-11-09
申请号：US18310015
申请日：2023-05-01
Applicant: Intel Corporation
Inventor： HUGUES LABBE , DARREL PALKE , SHERINE ABDELHAK , JILL BOYCE , VARGHESE GEORGE , SCOTT JANUS , ADAM LAKE , ZHIJUN LEI , ZHENGMIN LI , MIKE MACPHERSON , CARL MARSHALL , SELVAKUMAR PANNEER , PRASOONKUMAR SURTI , KARTHIK VEERAMANI , DEEPAK VEMBAR , VALLABHAJOSYULA SRINIVASA SOMAYAZULU
Abstract: One embodiment provides a graphics processor comprising a block of execution resources, a cache memory, a cache memory prefetcher, and circuitry including a programmable neural network unit, the programmable neural network unit comprising a network hardware block including circuitry to perform neural network operations and activation operations for a layer of a neural network, the programmable neural network unit addressable by cores within the block of graphics cores and the neural network hardware block configured to perform operations associated with a neural network configured to determine a prefetch pattern for the cache memory prefetcher.
-
公开(公告)号：US20180307899A1
公开(公告)日：2018-10-25
申请号：US15495327
申请日：2017-04-24
Applicant: Intel Corporation
Inventor： Barnan Das , MAYURESH M. VARERKAR , NARAYAN BISWAL , STANLEY J. BARAN , GOKCEN CILINGIR , NILESH V. SHAH , ARCHIE SHARMA , SHERINE ABDELHAK , Praneetha Kotha , Neelay Pandit , John C. Weast , Mike B. Macpherson , Dukhwan Kim , Linda L. Hurd , Abhishek R. Appu , Altug Koker , Joydeep Ray
CPC classification number: G06K9/00288 , G06F17/30256 , G06F17/30793 , G06K9/00255 , G06K9/00268 , G06K9/00885 , G06K9/6269 , G06T7/70 , G06T2207/30184 , G06T2207/30201 , G06T2207/30232
Abstract: A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.
-
-
-
-
-
-
-
Search Results
8
records
(took 0.018 seconds)
