公开(公告)号：US20160210752A1

公开(公告)日：2016-07-21

申请号：US14129656

申请日：2013-09-18

Applicant: INTEL CORPORATION

Inventor： Joshua J. RATCLIFF ,  Giuseppe Beppe RAFFA ,  Alexandra ZAFIROGLU ,  Stanley MO

IPC: G06T7/00 ,  G06F3/0481 ,  G06F3/16 ,  G06T7/40 ,  G06F3/01

CPC classification number: G06T7/73 ,  G06F1/163 ,  G06F3/012 ,  G06F3/013 ,  G06F3/015 ,  G06F3/0481 ,  G06F3/04815 ,  G06F3/16 ,  G06T7/50 ,  G06T7/90 ,  G06T2207/10024 ,  G06T2207/20 ,  G06T2207/20021 ,  G06T2207/30201 ,  G09G5/026 ,  G09G5/14 ,  G09G2354/00

Abstract: Technologies for displaying graphical elements on a graphical user interface include a wearable computing device to generate a captured image. The wearable computing device analyzes the captured image to generate image location metric data for one or more prospective locations on the graphical user interface at which to place a graphical element. The image location metric data indicates one or more image characteristics of the corresponding prospective location. The wearable computing device determines appropriateness data for each prospective location based on the corresponding image location metric data. The appropriate data indicates a relative suitability of the corresponding location for display of the graphical element. The wearable computing device selects one of the prospective locations based on the appropriateness data and displays the graphical element on the graphical user interface at the selected prospective location.

Abstract translation: 用于在图形用户界面上显示图形元素的技术包括可穿戴计算设备以产生捕获的图像。 可穿戴计算设备分析所捕获的图像以生成用于放置图形元素的图形用户界面上的一个或多个预期位置的图像位置度量数据。 图像位置度量数据表示对应的预期位置的一个或多个图像特征。 可穿戴计算设备基于相应的图像位置度量数据来确定每个预期位置的适当性数据。 相应的数据表示用于显示图形元素的相应位置的相对适合性。 可穿戴计算设备根据适当性数据选择一个预期位置，并在所选择的预期位置的图形用户界面上显示图形元素。

公开(公告)号：US20240386442A1

公开(公告)日：2024-11-21

申请号：US18571149

申请日：2022-04-01

Applicant: Intel Corporation

Inventor： Stanley MO ,  Hassnaa MOUSTAFA ,  Rita WOUHAYBI ,  Eve SCHOOLER ,  Asaad SAID

IPC: G06Q30/018 ,  G06F16/215 ,  G06F16/23

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for data collection balancing for sustainable storage. An example apparatus includes at least one memory, machine executable instructions, and processor circuitry to at least one of execute or instantiate the machine executable instructions to orchestrate resources in an edge environment based on data ingested from a data source, execute a machine learning model based on the data to generate outputs, the outputs including at least one of a first value representative of data criticality or a second value representative of data quality of the data, reduce resource requirements associated with the resources of the edge environment based on the outputs to effectuate green data management of the edge environment, and cause an operation at a node of the edge environment based on at least one of the data or the outputs, the node associated with the data.

公开(公告)号：US20240330218A1

公开(公告)日：2024-10-03

申请号：US18660144

申请日：2024-05-09

Applicant: Intel Corporation

Inventor： Akhilesh S. THYAGATURU ,  Stanley MO ,  Jason M. HOWARD ,  Sanjaya TAYAL ,  Nicholas ROSS

IPC: G06F13/28

CPC classification number: G06F13/28 ,  G06F2213/28

Abstract: Examples described herein relate to a network interface device that includes a direct memory access (DMA) circuitry; a network interface; at least two host interfaces to simultaneously connect to multiple platforms; an interface to a memory device; and circuitry. In some examples, at least two of the multiple platforms include a processor and a memory coupled to a circuit board. In some examples, the circuitry is to: based on a level of security classification of a second platform of the multiple platforms, perform secure transfer of data from a first platform of the multiple platforms to the second platform of the multiple platforms and enforce rules for data access and data transfer by the multiple platforms.

公开(公告)号：US20240211728A1

公开(公告)日：2024-06-27

申请号：US18233803

申请日：2023-08-14

Applicant: Intel Corporation

Inventor： Rita CHATTOPADHYAY ,  Stanley MO ,  Matias ALMADA ,  Steven KREBS

IPC: G06N3/045

CPC classification number: G06N3/045

Abstract: A computer-implemented system, platform, device, and method of audio processing comprises receiving, by processor circuitry, a mixed audio signal having a plurality of audio sources, and separating the mixed audio signal into at least one separate target audio source signal; and determining whether or not the at least one separate target audio source signal is associated with at least one target audio source. This also comprises inputting at least one of the separate target audio source signals into a classifying neural network.