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公开(公告)号：US20210209720A1
公开(公告)日：2021-07-08
申请号：US16995241
申请日：2020-08-17
Applicant: Intel Corporation
Inventor： Tao Zhao , John C. Weast , Brett P. Wang
Abstract: Systems and methods for determining a foreground application and at least one background application from multiple graphics applications executing within an execution environment are disclosed. Pixel data rendered by the foreground application may be displayed in the execution environment while a rendering thread of the background application may be paused.
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公开(公告)号：US10724869B2
公开(公告)日：2020-07-28
申请号：US16166928
申请日：2018-10-22
Applicant: Intel Corporation
Inventor： Ren Wang , Zhonghong Ou , Arvind Kumar , Kristoffer Fleming , Tsung-Yuan C. Tai , Timothy J. Gresham , John C. Weast , Corey Kukis
Abstract: Technologies for providing information to a user while traveling include a mobile computing device to determine network condition information associated with a route segment. The route segment may be one of a number of route segments defining at least one route from a starting location to a destination. The mobile computing device may determine a route from the starting location to the destination based on the network condition information. The mobile computing device may upload the network condition information to a crowdsourcing server. A mobile computing device may predict a future location of the device based on device context, determine a safety level for the predicted location, and notify the user if the safety level is below a threshold safety level. The device context may include location, time of day, and other data. The safety level may be determined based on predefined crime data.
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公开(公告)号：US20200210338A1
公开(公告)日：2020-07-02
申请号：US16727127
申请日：2019-12-26
Applicant: Intel Corporation
Inventor： Chandrasekaran Sakthivel , Prasoonkumar Surti , John C. Weast , Sara S. Baghsorkhi , Justin E. Gottschlich , Abhishek R. Appu , Nicolas C. Galoppo Von Borries , Joydeep Ray , Narayan Srinivasa , Feng Chen , Ben J. Ashbaugh , Rajkishore Barik , Tsung-Han Lin , Kamal Sinha , Eriko Nurvitadhi , Balaji Vembu , Altug Koker
IPC: G06F12/0837 , G06N3/08 , G06N20/00 , G06T1/20 , G06F12/0815 , G06N3/063 , G06N3/04
Abstract: In an example, an apparatus comprises a plurality of processing unit cores, a plurality of cache memory modules associated with the plurality of processing unit cores, and a machine learning model communicatively coupled to the plurality of processing unit cores, wherein the plurality of cache memory modules share cache coherency data with the machine learning model. Other embodiments are also disclosed and claimed.
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公开(公告)号：US20190295211A1
公开(公告)日：2019-09-26
申请号：US16377315
申请日：2019-04-08
Applicant: Intel Corporation
Inventor： Abhishek R. Appu , Altug Koker , John C. Weast , Mike B. Macpherson , Linda L. Hurd , Sara S. Baghsorkhi , Justin E. Gottschlich , Prasoonkumar Surti , Chandrasekaran Sakthivel , Liwei Ma , Elmoustapha Ould-Ahmed-Vall , Kamal Sinha , Joydeep Ray , Balaji Vembu , Sanjeev Jahagirdar , Vasanth Ranganathan , Dukhwan Kim
Abstract: A mechanism is described for facilitating inference coordination and processing utilization for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, at training time, information relating to one or more tasks to be performed according to a training dataset relating to a processor including a graphics processor. The method may further include analyzing the information to determine one or more portions of hardware relating to the processor capable of supporting the one or more tasks, and configuring the hardware to pre-select the one or more portions to perform the one or more tasks, while other portions of the hardware remain available for other tasks.
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公开(公告)号：US10242423B2
公开(公告)日：2019-03-26
申请号：US15789565
申请日：2017-10-20
Applicant: Intel Corporation
Inventor： Elmoustapha Ould-Ahmed-Vall , Sara S. Baghsorkhi , Anbang Yao , Kevin Nealis , Xiaoming Chen , Altug Koker , Abhishek R. Appu , John C. Weast , Mike B. Macpherson , Dukhwan Kim , Linda L. Hurd , Ben J. Ashbaugh , Barath Lakshmanan , Liwei Ma , Joydeep Ray , Ping T. Tang , Michael S. Strickland
Abstract: One embodiment provides an accelerator module comprising a memory stack including multiple memory dies; a graphics processing unit (GPU) coupled with the memory stack via one or more memory controllers, the GPU including a plurality of multiprocessors having a single instruction, multiple thread (SIMT) architecture, the multiprocessors to execute at least one single instruction; the at least one single instruction to cause at least a portion of the GPU to perform a floating-point operation on input having differing precisions; and the floating-point operation is a two-dimensional matrix multiply and accumulate operation.
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Patent Agency Ranking
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.
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公开(公告)号：US10108850B1
公开(公告)日：2018-10-23
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.
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公开(公告)号：US20180299841A1
公开(公告)日：2018-10-18
申请号：US15489142
申请日：2017-04-17
Applicant: Intel Corporation
Inventor： Abhishek R. Appu , Altug Koker , Linda L. Hurd , Dukhwan Kim , Mike B. MacPherson , John C. Weast , Justin E. Gottschlich , Jingyi Jin , Barath Lakshmanan , Chandrasekaran Sakthivel , Michael S. Strickland , Joydeep Ray , Kamal Sinha , Prasoonkumar Surti , Balaji Vembu , Ping T. Tang , Anbang Yao , Tatiana Shpeisman , Xiaoming Chen , Vasanth Ranganathan , Sanjeev S. Jahagirdar
Abstract: Methods and apparatus relating to autonomous vehicle neural network optimization techniques are described. In an embodiment, the difference between a first training dataset to be used for a neural network and a second training dataset to be used for the neural network is detected. The second training dataset is authenticated in response to the detection of the difference. The neural network is used to assist in an autonomous vehicle/driving. Other embodiments are also disclosed and claimed.
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公开(公告)号：US10097912B2
公开(公告)日：2018-10-09
申请号：US14671645
申请日：2015-03-27
Applicant: Intel Corporation
Inventor： Glen J. Anderson , Ryan S. Brotman , Giuseppe Raffa , John C. Weast , Daniel S. Lake , Deepak S. Vembar , Lenitra M. Durham , Brad Jackson
Abstract: Systems and methods may provide for determining a usage configuration of a wearable device and setting an activation state of an air conduction speaker of the wearable device based at least in part on the usage configuration. Additionally, an activation state of a tissue conduction speaker of the wearable device may be set based at least in part on the usage configuration. In one example, the usage configuration is determined based on a set of status signals that indicate one or more of a physical position, a physical activity, a current activation state, an interpersonal proximity state or a manual user request associated with one or more of the air conduction speaker or the tissue conduction speaker.
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公开(公告)号：US10057656B2
公开(公告)日：2018-08-21
申请号：US15463748
申请日：2017-03-20
Applicant: Intel Corporation
Inventor： John C. Weast
IPC: H04N21/81 , H04N21/4402 , H04N21/433 , H04N21/234 , H04N21/8549 , H04N21/2387 , H04N5/76 , H04N21/6587 , H04N21/43 , H04N21/242 , H04N21/44
CPC classification number: H04N21/812 , H04N5/76 , H04N21/23418 , H04N21/23424 , H04N21/2387 , H04N21/242 , H04N21/4302 , H04N21/4333 , H04N21/44008 , H04N21/440236 , H04N21/6587 , H04N21/8549
Abstract: Technologies for presenting an advertisement on a media consumption device includes receiving a request to seek past a commercial included in media content played on the media consumption device, determining an advertisement based on the commercial, and presenting the advertisement to a user of the media consumption device during performance of the requested seek function. The advertisement may be, for example, an extracted frame or image of the commercial and may include a logo or phrase associated with a product or service advertised in the commercial. Similar technologies related to a media content distribution system are also disclosed.
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