Patents by Inventor Tony Tamasi
Tony Tamasi has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11798514Abstract: Embodiments of the present invention provide a novel solution that uses subjective end-user input to generate optimal image quality settings for an application. Embodiments of the present invention enable end-users to rank and/or select various adjustable application parameter settings in a manner that allows them to specify which application parameters and/or settings are most desirable to them for a given application. Based on the feedback received from end-users, embodiments of the present invention may generate optimal settings for whatever performance level the end-user desires. Furthermore, embodiments of the present invention may generate optimal settings that may be benchmarked either on a server farm or on an end-user's client device.Type: GrantFiled: November 20, 2020Date of Patent: October 24, 2023Assignee: NVIDIA CorporationInventors: John Spitzer, Rev Lebaredian, Tony Tamasi
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Patent number: 11683253Abstract: Novel solutions are provided for consistent Quality of Service in cloud gaming system that adaptively and dynamically compensate for poor network conditions by moderating rendered frame rates using frame rate capping to optimize for network latency savings (or surplus). In further embodiments, the encoding/sent frame rate to the client can also be managed in addition, or as an alternative to capping the rendered frame rates. The claimed embodiments not only maintain a constant Quality of Service (QoS) for the user, but may also be employed to leverage higher-performing networks to reduce operational costs.Type: GrantFiled: April 5, 2021Date of Patent: June 20, 2023Assignee: NVIDIA CorporationInventors: Tony Tamasi, Xun Wang, Franck Diard
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Publication number: 20230004801Abstract: In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.Type: ApplicationFiled: August 30, 2022Publication date: January 5, 2023Inventors: Clement Farabet, John Zedlewski, Zachary Taylor, Greg Heinrich, Claire Delaunay, Mark Daly, Matthew Campbell, Curtis Beeson, Gary Hicok, Michael Cox, Rev Lebaredian, Tony Tamasi, David Auld
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Patent number: 11436484Abstract: In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.Type: GrantFiled: March 27, 2019Date of Patent: September 6, 2022Assignee: NVIDIA CorporationInventors: Clement Farabet, John Zedlewski, Zachary Taylor, Greg Heinrich, Claire Delaunay, Mark Daly, Matthew Campbell, Curtis Beeson, Gary Hicok, Michael Cox, Rev Lebaredian, Tony Tamasi, David Auld
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Publication number: 20210226877Abstract: Novel solutions are provided for consistent Quality of Service in cloud gaming system that adaptively and dynamically compensate for poor network conditions by moderating rendered frame rates using frame rate capping to optimize for network latency savings (or surplus). In further embodiments, the encoding/sent frame rate to the client can also be managed in addition, or as an alternative to capping the rendered frame rates. The claimed embodiments not only maintain a constant Quality of Service (QoS) for the user, but may also be employed to leverage higher-performing networks to reduce operational costs.Type: ApplicationFiled: April 5, 2021Publication date: July 22, 2021Inventors: Tony Tamasi, Xun Wang, Franck Diard
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Patent number: 11012338Abstract: Novel solutions are provided for consistent Quality of Service in cloud gaming system that adaptively and dynamically compensate for poor network conditions by moderating rendered frame rates using frame rate capping to optimize for network latency savings (or surplus). In further embodiments, the encoding/sent frame rate to the client can also be managed in addition, or as an alternative to capping the rendered frame rates. The claimed embodiments not only maintain a constant Quality of Service (QoS) for the user, but may also be employed to leverage higher-performing networks to reduce operational costs.Type: GrantFiled: February 21, 2020Date of Patent: May 18, 2021Assignee: NVIDIA CorporationInventors: Tony Tamasi, Xun Wang, Franck Diard
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Patent number: 10999174Abstract: Novel solutions are provided for consistent Quality of Service in cloud gaming system that adaptively and dynamically compensate for poor network conditions by moderating rendered frame rates using frame rate capping to optimize for network latency savings (or surplus). In further embodiments, the encoding/sent frame rate to the client can also be managed in addition, or as an alternative to capping the rendered frame rates. The claimed embodiments not only maintain a constant Quality of Service (QoS) for the user, but may also be employed to leverage higher-performing networks to reduce operational costs.Type: GrantFiled: February 21, 2020Date of Patent: May 4, 2021Assignee: NVIDIA CorporationInventors: Tony Tamasi, Xun Wang, Franck Diard
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Publication number: 20210074237Abstract: Embodiments of the present invention provide a novel solution that uses subjective end-user input to generate optimal image quality settings for an application. Embodiments of the present invention enable end-users to rank and/or select various adjustable application parameter settings in a manner that allows them to specify which application parameters and/or settings are most desirable to them for a given application. Based on the feedback received from end-users, embodiments of the present invention may generate optimal settings for whatever performance level the end-user desires. Furthermore, embodiments of the present invention may generate optimal settings that may be benchmarked either on a server farm or on an end-user's client device.Type: ApplicationFiled: November 20, 2020Publication date: March 11, 2021Inventors: John SPITZER, Rev LEBAREDIAN, Tony TAMASI
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Patent number: 10878770Abstract: Embodiments of the present invention provide a novel solution that uses subjective end-user input to generate optimal image quality settings for an application. Embodiments of the present invention enable end-users to rank and/or select various adjustable application parameter settings in a manner that allows them to specify which application parameters and/or settings are most desirable to them for a given application. Based on the feedback received from end-users, embodiments of the present invention may generate optimal settings for whatever performance level the end-user desires. Furthermore, embodiments of the present invention may generate optimal settings that may be benchmarked either on a server farm or on an end-user's client device.Type: GrantFiled: December 2, 2013Date of Patent: December 29, 2020Assignee: Nvidia CorporationInventors: John Spitzer, Rev Lebaredian, Tony Tamasi
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Publication number: 20200244559Abstract: Novel solutions are provided for consistent Quality of Service in cloud gaming system that adaptively and dynamically compensate for poor network conditions by moderating rendered frame rates using frame rate capping to optimize for network latency savings (or surplus). In further embodiments, the encoding/sent frame rate to the client can also be managed in addition, or as an alternative to capping the rendered frame rates. The claimed embodiments not only maintain a constant Quality of Service (QoS) for the user, but may also be employed to leverage higher-performing networks to reduce operational costs.Type: ApplicationFiled: February 21, 2020Publication date: July 30, 2020Inventors: Tony Tamasi, Xun Wang, Franck Diard
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Publication number: 20200195541Abstract: Novel solutions are provided for consistent Quality of Service in cloud gaming system that adaptively and dynamically compensate for poor network conditions by moderating rendered frame rates using frame rate capping to optimize for network latency savings (or surplus). In further embodiments, the encoding/sent frame rate to the client can also be managed in addition, or as an alternative to capping the rendered frame rates. The claimed embodiments not only maintain a constant Quality of Service (QoS) for the user, but may also be employed to leverage higher-performing networks to reduce operational costs.Type: ApplicationFiled: February 21, 2020Publication date: June 18, 2020Inventors: Tony Tamasi, Xun Wang, Franck Diard
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Patent number: 10616086Abstract: Novel solutions are provided for consistent Quality of Service in cloud gaming system that adaptively and dynamically compensate for poor network conditions by moderating rendered frame rates using frame rate capping to optimize for network latency savings (or surplus). In further embodiments, the encoding/sent frame rate to the client can also be managed in addition, or as an alternative to capping the rendered frame rates. The claimed embodiments not only maintain a constant Quality of Service (QoS) for the user, but may also be employed to leverage higher-performing networks to reduce operational costs.Type: GrantFiled: December 27, 2012Date of Patent: April 7, 2020Assignee: NAVIDIA CorporationInventors: Tony Tamasi, Xun Wang, Franck Diard
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Publication number: 20200050936Abstract: Traditionally, a software application is developed, tested, and then published for use by end users. Any subsequent update made to the software application is generally in the form of a human programmed modification made to the code in the software application itself, and further only becomes usable once tested, published, and installed by end users having the previous version of the software application. This typical software application lifecycle causes delays in not only generating improvements to software applications, but also to those improvements being made accessible to end users. To help avoid these delays and improve performance of software applications, deep learning models may be made accessible to the software applications for use in providing inferenced data to the software applications, which the software applications may then use as desired. These deep learning models can furthermore be improved independently of the software applications using manual and/or automated processes.Type: ApplicationFiled: August 9, 2019Publication date: February 13, 2020Inventors: Andrew Edelsten, Jen-Hsun Huang, Bojan Skaljak, Tony Tamasi
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Publication number: 20190303759Abstract: In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.Type: ApplicationFiled: March 27, 2019Publication date: October 3, 2019Inventors: Clement Farabet, John Zedlewski, Zachary Taylor, Greg Heinrich, Claire Delaunay, Mark Daly, Matthew Campbell, Curtis Beeson, Gary Hicok, Michael Cox, Rev Lebaredian, Tony Tamasi, David Auld
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Patent number: 10298645Abstract: A computer application streaming system includes an optimization unit coupled to a streaming device to determine streaming optimal playable settings for a remote user device corresponding to a selected computer application and a sending unit coupled to the optimization unit to manage streaming of the streaming optimal playable settings over a network connected to the remote user device. A receiving unit is coupled to the network to recover the streaming optimal playable settings for application to the remote user device when employing the selected computer application. An optional feedback unit is coupled to the remote user device to provide remote information over the network for modifying the streaming optimal playable settings, and an optional update unit is coupled to the streaming device to manage modification of the streaming optimal playable settings as directed by the remote information. A method of streaming a computer application is also provided.Type: GrantFiled: April 28, 2015Date of Patent: May 21, 2019Assignee: Nvidia CorporationInventors: John Spitzer, Hassane Azar, Alok Ahuja, Tony Tamasi
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Publication number: 20160323336Abstract: A computer application streaming system includes an optimization unit coupled to a streaming device to determine streaming optimal playable settings for a remote user device corresponding to a selected computer application and a sending unit coupled to the optimization unit to manage streaming of the streaming optimal playable settings over a network connected to the remote user device. A receiving unit is coupled to the network to recover the streaming optimal playable settings for application to the remote user device when employing the selected computer application. An optional feedback unit is coupled to the remote user device to provide remote information over the network for modifying the streaming optimal playable settings, and an optional update unit is coupled to the streaming device to manage modification of the streaming optimal playable settings as directed by the remote information. A method of streaming a computer application is also provided.Type: ApplicationFiled: April 28, 2015Publication date: November 3, 2016Inventors: John Spitzer, Hassane Azar, Alok Ahuja, Tony Tamasi
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Publication number: 20150154934Abstract: Embodiments of the present invention provide a novel solution that uses subjective end-user input to generate optimal image quality settings for an application. Embodiments of the present invention enable end-users to rank and/or select various adjustable application parameter settings in a manner that allows them to specify which application parameters and/or settings are most desirable to them for a given application. Based on the feedback received from end-users, embodiments of the present invention may generate optimal settings for whatever performance level the end-user desires. Furthermore, embodiments of the present invention may generate optimal settings that may be benchmarked either on a server farm or on an end-user's client device.Type: ApplicationFiled: December 2, 2013Publication date: June 4, 2015Applicant: Nvidia CorporationInventors: John SPITZER, Rev LEBAREDIAN, Tony TAMASI
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Patent number: 8866833Abstract: A system, method, and computer program product are provided for a dynamic display refresh. In use, a state of a display device is identified in which an entirety of an image frame is currently displayed by the display device. In response to the identification of the state, it is determined whether an entirety of a next image frame to be displayed has been rendered to memory. The next image frame is transmitted to the display device for display thereof, when it is determined that the entirety of the next image frame to be displayed has been rendered to the memory. Further, a refresh of the display device is delayed, when it is determined that the entirety of the next image frame to be displayed has not been rendered to the memory.Type: GrantFiled: September 11, 2013Date of Patent: October 21, 2014Assignee: NVIDIA CorporationInventors: Tom Petersen, David Wyatt, Paul van der Kouwe, Emmett M. Kilgariff, Laurence Harrison, Jensen Huang, Tony Tamasi, Gerrit A. Slavenburg, Thomas F. Fox, David Matthew Stears, Robert Jan Schutten, Ross Cunniff, Ajay Kamalvanshi, Robert Osborne, Rouslan Dimitrov
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Publication number: 20140189091Abstract: Novel solutions are provided for consistent Quality of Service in cloud gaming system that adaptively and dynamically compensate for poor network conditions by moderating rendered frame rates using frame rate capping to optimize for network latency savings (or surplus). In further embodiments, the encoding/sent frame rate to the client can also be managed in addition, or as an alternative to capping the rendered frame rates. The claimed embodiments not only maintain a constant Quality of Service (QoS) for the user, but may also be employed to leverage higher-performing networks to reduce operational costs.Type: ApplicationFiled: December 27, 2012Publication date: July 3, 2014Applicant: NVIDIA CORPORATIONInventors: Tony Tamasi, Xun Wang, Franck Diard
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Patent number: 8736617Abstract: A method of displaying graphics data is described. The method involves accessing the graphics data in a memory subsystem associated with one graphics subsystem. The graphics data is transmitted to a second graphics subsystem, where it is displayed on a monitor coupled to the second graphics subsystem.Type: GrantFiled: August 4, 2008Date of Patent: May 27, 2014Assignee: Nvidia CorporationInventors: Stephen Lew, Bruce R. Intihar, Abraham B. de Waal, David G. Reed, Tony Tamasi, David Wyatt, Franck R. Diard, Brad Simeral