Nvidia Corporation

Orbai Technologies, Inc.

Brent Leonard Oster

David Patrick Luebke

Morgan McGuire

Peter Schuyler Shirley

Christopher Ryan Wyman

Michael Mara

Peter-Pike Sloan

Cyril Crassin

Cyril Jean-Francois Crassin

The present invention facilitates efficient and effective image processing. A network can comprise: a first system configured to perform a first portion of lighting calculations for an image and combing results of the first portion of lighting calculations for the image with results of a second portion of lighting calculations; and a second system configured to perform the second portion of lighting calculations and forward the results of the second portion of the lighting calculations to the first system. The first and second portion of lighting calculations can be associated with indirect lighting calculations and direct lighting calculations respectively. The first system can be a client in a local location and the second system can be a server in a remote location (e.g., a cloud computing environment). The first system and second system can be in a cloud and a video is transmitted to a local system.

Asynchronous lighting for image illumination

A method of forming a neural network includes specifying layers of neural network neurons. A parameter genome is defined with numerical parameters characterizing connections between neural network neurons in the layers of neural network neurons, where the connections are defined from a neuron in a current layer to neurons in a set of adjacent layers, and where the parameter genome has a unique representation characterized by kilobytes of numerical parameters. Parameter genomes are combined into a connectome characterizing all connections between all neural network neurons in the connectome, where the connectome has in excess of millions of neural network neurons and billions of connections between the neural network neurons.

Apparatus and method for utilizing a parameter genome characterizing neural network connections as a building block to construct a neural network with feedforward and feedback paths

Photon-based image illumination rendering

Image illumination rendering system and method

A system, method, and computer program product are provided for computing indirect lighting in a cloud network. In operation, one or more scenes for rendering are identified. Further, indirect lighting associated with the one or more scenes is identified. Additionally, computation associated with the indirect lighting is performed in a cloud network utilizing at least one of a voxel-based algorithm, a photon-based algorithm, or an irradiance-map-based algorithm.

System, method, and computer program product for computing indirect lighting in a cloud network

Growing community of inventors

Gilroy, CA, United States of America

Brent Leonard Oster