Nvidia Corporation

Jordan Levy

Ryan Kelsey Albright

Ben Goska

Kiril Stoynov

Manoj Khanal

Elad Mentovich

Tahir Cader

Benjamin Goska

Michael Thompson

William Ryan Weese

Siddha Ganju

William Andrew Mecham

Aaron Richard Carkin

Marc E Davis

Mike Gemelke

Siddardha Naraharisetti

Ankita Garg

Fred Devoir

Elijah Chen

While one type of input, either a mouse input or a joystick input, may be preferred for one type of a game, it may not be preferred, or even compatible, for another type of a game. Introduced herein is a game controller that employs a dedicated input, which is capable of the absolute accuracy of a mouse input or trackball input, but is also capable of measuring how far off center the input is (e.g., how far off center it has moved), and can also return to center when released, as is present in a joystick input. The introduced game controller integrates a touch sensing trackball to enjoy the benefits of both the mouse type input and joystick type input, in a single dedicated input, providing a user freedom to play any type of game without worrying about the compatibility of their game controllers.

Using touch sensing to make a trackball behave like a joystick

Systems and methods for datacenter are disclosed. In at least one embodiment, a system or method herein causes a process for a structure that includes a component tracking system, where such a system includes individual components within individual servers or individual racks, the process being based in part on at least location information and configuration information from one or more of an optical sensor or a radio sensor associated with a motile-support that is adapted for at least three dimensional (3D) movement in a space having the individual servers or the individual racks.

Motile tracking of datacenter components

Haptic effects have long been provided to enhance content, such as by providing vibrations, rumbles, etc. in a remote controller or other device being used by a user while watching or listening to the content. To date, haptic effects have either been provided by programming controls for the haptic effects within the content itself, or by providing an interface to audio that simply maps certain haptic effects with certain audio frequencies. The present disclosure provides a haptic control interface that intelligently induces haptic effects for content, in particular by using machine learning to detect specific features in content and then induce certain haptic effects for those features.

Haptic control interface for detecting content features using machine learning to induce haptic effects

Growing community of inventors

Santa Clara, CA, United States of America

Jordan Levy