Intel Corporation

Movidius Limited

Alessandro Palla

David Macdara Moloney

Jonathan Byrne

Cormac Brick

Mi Sun Park

Xiaofan Xu

Sam Caulfield

Gary Garfield Barrington Baugh

Léonie Raideen Buckley

Dexmont Alejandro Peña Carillo

Luis M Rodríguez Martín De La Sierra

Leonie Buckley

Carlos Márquez Rodríguez-Peral

Ananya Gupta

A machine learning system is provided to enhance various aspects of machine learning models. In some aspects, a substantially photorealistic three-dimensional (3D) graphical model of an object is accessed and a set of training images of the 3D graphical mode are generated, the set of training images generated to add imperfections and degrade photorealistic quality of the training images. The set of training images are provided as training data to train an artificial neural network.

Deep learning system

A particular voxel is identified within a volume and a hash table is used to obtain volumetric data describing the particular voxel within the volume. Values of x-, y- and z-coordinates in the volume associated with the particular voxel are determined an index value associated with the particular voxel is determined according to a hashing algorithm, where the index value is determined from summing weighted values of the x-, y- and z-coordinates, and the weighted values are based on a variable value corresponding to a dimension of the volume. A particular entry is identified in the hash table based on the index value, where the particular entry includes volumetric data, and the volumetric data identifies, for the particular voxel, whether the particular voxel is occupied.

Density coordinate hashing for volumetric data

Growing community of inventors

Seattle, WA, United States of America

Alessandro Palla