公开(公告)号：US20200327367A1

公开(公告)日：2020-10-15

申请号：US16304676

申请日：2016-06-03

Applicant: INTEL CORPORATION

Inventor： Liwei MA ,  Jiqiang SONG

IPC: G06K9/62 ,  G06K9/46 ,  G06K9/00 ,  G06T7/73 ,  G06N3/04

Abstract: Embodiments provide for a processor including logic to accelerate convolutional neural network processing, the processor including first logic to apply a convolutional layer to an image to generate a first convolution result and second logic to apply a look-up convolutional layer to the first convolution result to generate a second convolution result, the second convolution result associated with a location of the first convolution result within a global filter kernel.

公开(公告)号：US20190188141A1

公开(公告)日：2019-06-20

申请号：US16326708

申请日：2016-10-05

Applicant: INTEL CORPORATION

Inventor： Liwei MA ,  Jiqiang SONG

IPC: G06F12/0875 ,  G06N3/08 ,  B25J19/02

CPC classification number: G06F12/0875 ,  B25J19/023 ,  B25J19/026 ,  G06F12/0802 ,  G06F2212/455 ,  G06N3/008 ,  G06N3/0454 ,  G06N3/063 ,  G06N3/08 ,  G06T1/60

Abstract: A mechanism is described for facilitating general purpose input/output data capture and neutral cache system for autonomous machines. A method of embodiments, as described herein, includes capturing, by an image capturing device, one or more images of one or more objects, where the one or more images represent input data associated with a neural network. The method may further include determining accuracy of first output results generated by a default neural caching system by comparing the first output results with second output results predicted by a custom neural caching system. The method may further include outputting, based on the accuracy, a final output results including at least one of the first output results or the second output results.

公开(公告)号：US20190094027A1

公开(公告)日：2019-03-28

申请号：US16081129

申请日：2016-03-30

Applicant: INTEL CORPORATION

Inventor： Xianchao XU ,  Jiqiang SONG ,  Liwei MA ,  Ke WANG

IPC: G01C21/16 ,  G06T7/246 ,  G06T7/73 ,  G01S19/48 ,  G06N3/04

Abstract: Various embodiments are directed to techniques for determining a current location of a mobile device. An apparatus includes a SLAM candidate component to identify a first candidate key frame matching a current captured frame by a first degree from an interval-based key frame set with key frames selected on a recurring interval from multiple earlier captured frames captured by mobile device camera of surroundings within a defined area, a CNN candidate component to identify a second candidate key frame matching the current captured frame by a second degree from a difference-based key frame set with key frames selected from the multiple earlier captured frames based on a degree of difference from all key frames already therein, and a position estimation component to determine a current location of the mobile device from estimates of differences between the current location and locations of the first and second candidate key frames.