Abstract: Apparatuses, systems, and techniques to generate computer graphics. In at least one embodiment, an application programming interface call to output an application-generated frame of computer graphics is intercepted. One or more interpolated frames of computer graphics are generated based on the application-generated frames. The application-generated and interpolated frames are output in accordance with a goal rate.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.