A neural network-based rendering technique increases temporal stability and image fidelity
of low sample count path tracing by optimizing a distribution of samples for rendering each …

Techniques for intelligent task-oriented multi-turn dialog system automation are described. A
seq2seq ML model can be trained using a corpus of training data and a loss function that is …

2019-12-18 Assigned to NVIDIA CORPORATION reassignment NVIDIA CORPORATION
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …

A measurement apparatus comprising an acquisition memory adapted to store data sections
of at least one acquired measurement signal; a processor adapted to calculate a …

An evaluation device is provided and includes: a data acquisition unit which acquires input
data input to a first learner of finishing learning that has undergone supervised learning …

Provided is a computer system for generating a neural network (NN) used for a task
including a training unit that calculates a weighting factor between a reservoir and an output …

A neural network-based rendering technique increases temporal stability and image fidelity
of low sample count path tracing by optimizing a distribution of samples for rendering each …

An apparatus and a method of predicting a video frame are provided. The apparatus
includes a level encoder configured to extract and learn at least one feature from a video …

In relation to application of artificial intelligence to image analysis of particles, to make it
possible to provide data for machine learning corresponding to user demands while making …

A physics-influenced deep neural network (PDNN) model, or a deep neural network
incorporating a physics-based cost function, can be used to efficiently denoise sensor data …