Patents by Inventor Bojan Skaljak

Bojan Skaljak 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).

  • Publication number: 20220051093
    Abstract: Apparatuses, systems, and techniques for neural network training and inference using multiple processor resources. In at least one embodiment, one or more neural networks are used to generate one or more second versions of one or more images based, at least in part, on a first version of the one or more images and a three-dimensional representation of the one or more first versions of the one or more images.
    Type: Application
    Filed: August 14, 2020
    Publication date: February 17, 2022
    Inventor: Bojan Skaljak
  • Publication number: 20220028037
    Abstract: Apparatuses, systems, and techniques are presented to generate image content. In at least one embodiment, one or more first images are generated based at least in part upon one or more changes from one or more second images, the one or more changes determined for one or more fixed jitter locations within one or more pixels of the one or more second images.
    Type: Application
    Filed: July 21, 2020
    Publication date: January 27, 2022
    Inventor: Bojan Skaljak
  • Patent number: 11163859
    Abstract: A computer system comprising a processor and a memory for storing instructions, that when executed by the processor performs a copy protection method. The copy protection method comprises executing a software loop of a first software application in a first operating system. A first call is executed in the software loop to a code portion. A decrypted code portion of the first software application is executed in a second operating system in response to the first call. The code portion is decrypted in response to a successful validation of the first software application.
    Type: Grant
    Filed: November 8, 2016
    Date of Patent: November 2, 2021
    Assignee: NVIDIA Corporation
    Inventors: Anthony Michael Tamasi, Timothy Paul Lottes, Bojan Skaljak, Fedor Fomichev, Andrew Leighton Edelsten, Jay Huang, Ashutosh Gajanan Rege, Keith Brian Galocy
  • Publication number: 20200050443
    Abstract: Traditionally, a software application is developed, tested, and then published for use to 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 and published by developers and/or publishers, 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 performing inferencing operations to generate inferenced data output for the software applications, which the software applications may then use as desired.
    Type: Application
    Filed: August 9, 2019
    Publication date: February 13, 2020
    Inventors: Andrew Edelsten, Jen-Hsun Huang, Bojan Skaljak
  • Publication number: 20200050936
    Abstract: 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: Application
    Filed: August 9, 2019
    Publication date: February 13, 2020
    Inventors: Andrew Edelsten, Jen-Hsun Huang, Bojan Skaljak, Tony Tamasi
  • Publication number: 20200050935
    Abstract: 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: Application
    Filed: August 9, 2019
    Publication date: February 13, 2020
    Inventors: Andrew Edelsten, Jen-Hsun Huang, Bojan Skaljak
  • Patent number: 10042469
    Abstract: A method for reducing line display latency on a touchpad device is disclosed. The method comprises storing information regarding a plurality of prior touch events on a touch screen of the touchpad device into an event buffer. It further comprises determining an average speed and a predicted direction of motion of a user interaction with the touch screen using the plurality of prior touch events. Next, it comprises calculating a first prediction point using the average speed, the predicted direction, and a last known touch event on the touch screen. Subsequently, it comprises applying weighted filtering on the first prediction point using a measured line curvature to determine a second prediction point. Finally, it comprises rendering a prediction line between the last known touch event on the touch screen and the second prediction point.
    Type: Grant
    Filed: November 30, 2016
    Date of Patent: August 7, 2018
    Assignee: Nvidia Corporation
    Inventors: Bojan Skaljak, Arman Toorians, Michael Chu
  • Publication number: 20170235930
    Abstract: A computer system comprising a processor and a memory for storing instructions, that when executed by the processor performs a copy protection method. The copy protection method comprises executing a software loop of a first software application in a first operating system. A first call is executed in the software loop to a code portion. A decrypted code portion of the first software application is executed in a second operating system in response to the first call. The code portion is decrypted in response to a successful validation of the first software application.
    Type: Application
    Filed: November 8, 2016
    Publication date: August 17, 2017
    Inventors: Anthony Michael Tamasi, Timothy Paul Lottes, Bojan Skaljak, Fedor Fomichev, Andrew Leighton Edelsten, Jay Huang, Ashutosh Gajanan Rege, Keith Brian Galocy
  • Publication number: 20170177146
    Abstract: A method for reducing line display latency on a touchpad device is disclosed. The method comprises storing information regarding a plurality of prior touch events on a touch screen of the touchpad device into an event buffer. It further comprises determining an average speed and a predicted direction of motion of a user interaction with the touch screen using the plurality of prior touch events. Next, it comprises calculating a first prediction point using the average speed, the predicted direction, and a last known touch event on the touch screen. Subsequently, it comprises applying weighted filtering on the first prediction point using a measured line curvature to determine a second prediction point. Finally, it comprises rendering a prediction line between the last known touch event on the touch screen and the second prediction point.
    Type: Application
    Filed: November 30, 2016
    Publication date: June 22, 2017
    Inventors: Bojan SKALJAK, Arman TOORIANS, Michael CHU
  • Patent number: 9529525
    Abstract: A method for reducing line display latency on a touchpad device is disclosed. The method comprises storing information regarding a plurality of prior touch events on a touch screen of the touchpad device into an event buffer. It further comprises determining an average speed and a predicted direction of motion of a user interaction with the touch screen using the plurality of prior touch events. Next, it comprises calculating a first prediction point using the average speed, the predicted direction, and a last known touch event on the touch screen. Subsequently, it comprises applying weighted filtering on the first prediction point using a measured line curvature to determine a second prediction point. Finally, it comprises rendering a prediction line between the last known touch event on the touch screen and the second prediction point.
    Type: Grant
    Filed: August 30, 2013
    Date of Patent: December 27, 2016
    Assignee: NVIDIA CORPORATION
    Inventors: Bojan Skaljak, Arman Toorians, Michael Chu
  • Patent number: 9489541
    Abstract: A computer system comprising a processor and a memory for storing instructions, that when executed by the processor performs a copy protection method. The copy protection method comprises executing a software loop of a first software application in a first operating system. A first call is executed in the software loop to a code portion. A decrypted code portion of the first software application is executed in a second operating system in response to the first call. The code portion is decrypted in response to a successful validation of the first software application.
    Type: Grant
    Filed: April 27, 2012
    Date of Patent: November 8, 2016
    Assignee: NVIDIA CORPORATION
    Inventors: Anthony Michael Tamasi, Timothy Paul Lottes, Bojan Skaljak, Fedor Fomichev, Andrew Leighton Edelsten, Jay Huang, Ashutosh Gajanan Rege, Keith Brian Galocy
  • Publication number: 20150062021
    Abstract: A method for reducing line display latency on a touchpad device is disclosed. The method comprises storing information regarding a plurality of prior touch events on a touch screen of the touchpad device into an event buffer. It further comprises determining an average speed and a predicted direction of motion of a user interaction with the touch screen using the plurality of prior touch events. Next, it comprises calculating a first prediction point using the average speed, the predicted direction, and a last known touch event on the touch screen. Subsequently, it comprises applying weighted filtering on the first prediction point using a measured line curvature to determine a second prediction point. Finally, it comprises rendering a prediction line between the last known touch event on the touch screen and the second prediction point.
    Type: Application
    Filed: August 30, 2013
    Publication date: March 5, 2015
    Applicant: NVIDIA Corporation
    Inventors: Bojan SKALJAK, Arman TOORIANS, Michael CHU
  • Publication number: 20130067240
    Abstract: A computer system comprising a processor and a memory for storing instructions, that when executed by the processor performs a copy protection method. The copy protection method comprises executing a software loop of a first software application in a first operating system. A first call is executed in the software loop to a code portion. A decrypted code portion of the first software application is executed in a second operating system in response to the first call. The code portion is decrypted in response to a successful validation of the first software application.
    Type: Application
    Filed: April 27, 2012
    Publication date: March 14, 2013
    Applicant: NVIDIA CORPORATION
    Inventors: Anthony Michael Tamasi, Timothy Paul Lottes, Bojan Skaljak, Fedor Fomichev, Andrew Leighton Edelsten, Jay Huang, Ashutosh Gajanan Rege, Keith Brian Galocy