Wei L Huang

8631212, Jan 14, 2014

Sep 25, 2011

13/244571

Andrew G. Kegel - Redmond WA, US
Ronald Perez - Austin TX, US
Wei Huang - Austin TX, US

Advanced Micro Devices, Inc. - Sunnyvale CA

G06F 13/00

711152, 711153, 711E12091

A memory management unit is configured to receive requests for memory access from a plurality of I/O devices. The memory management unit implements a protection mode wherein the unit prevents memory accesses by the plurality of I/O devices by mapping memory access requests (from the I/O devices) to the same set of memory address translation data. When the memory management unit is not in the protected mode, the unit maps memory access requests from the plurality of I/O devices to different respective sets of memory address translation data. Thus, the memory management unit may protect memory from access by I/O devices using fewer address translation tables than are typically required (e. g. , none).

20130063495, Mar 14, 2013

Sep 10, 2011

13/229719

Joseph Milan - Mercer Island WA, US
Wei Huang - Bellevue WA, US
John Hancock - Bellevue WA, US
Patrick Baumgartner - Kirkland WA, US
Drew Voegele - Kirkland WA, US

MICROSOFT CORPORATION - Redmond WA

G06T 11/60

345666

File exploration is facilitated by enabling zoom with respect to a thumbnail as a function of an identified point of interest. More particularly, a scaled thumbnail of the same size as a thumbnail can be presented as a function of an identified point of interest. Furthermore, navigation, among other things, is enabled to allow panning with respect to a scaled thumbnail, for instance.

20220197765, Jun 23, 2022

Dec 17, 2020

17/125602

- Bellevue WA, US
Wei Huang - Bellevue WA, US
Pei Zheng - Sammamish WA, US
Johnderic V. Sicat - Renton WA, US

G06F 11/22
G06F 11/263
G06F 11/277

Techniques for automatically selecting device tests for testing devices configured for operation in wireless communication networks, based upon maintenance releases (MRs) received from original equipment manufacturers. When an MR with changes for a device is received, the MR may be analyzed in order to determine what the changes pertain to with respect to the device. The changes may be clustered with respect to requirements for the changes and a knowledge base may be consulted by a recommendation engine in order to determine candidate tests for testing the MR. The candidate tests may be based upon previous tests, failed tests and, relevant tests. Based at least in part on the identified previous tests, failed tests and relevant tests, one or more tests may be selected for testing devices with respect to the newly received MR.

20210304899, Sep 30, 2021

Apr 6, 2018

16/497513

- Portland OR, US
- Seattle WA, US
Jeffrey Maki - Seattle WA, US
Thomas Barbara - Portland OR, US
Xin Li - Portland OR, US
William Rooney - Portland OR, US
Wei Huang - Portland OR, US
Brendan Moloney - Portland OR, US
Eric Baker - Portland OR, US

Oregon Health & Science University - Portland OR
University of Washington - Seattle WA

G16H 50/50
G01R 33/563
G16H 30/20

Methods, computer-readable storage media and systems are described for constructing a three-dimensional electronic library of simulated decays of the diffusion-weighted HO MR signal in b-space. Methods, computer-readable media, and systems are described for preparing a parametric tissue map for tissue in a subject. Computer readable media, having an electronic library of simulated decays of the diffusion-weighted HO signal in b-space and method of using such a library.

20210141501, May 13, 2021

Jan 25, 2021

17/156972

- Mountain View CA, US
Julian Odell - Kirkland WA, US
Seungyeon Kim - New York NY, US
Iulia Turc - Seattle WA, US
Daniel Ramage - Seattle WA, US
Wei Huang - Clyde Hill WA, US
Kaikai Wang - Bellevue WA, US

G06F 3/0482
G06F 3/0484

The present disclosure is directed to input suggestion. In particular, the methods and systems of the present disclosure can: receive, from a first application executed by one or more computing devices, data indicating information that has been presented by and/or input into the first application; generate, based at least in part on the received data, one or more suggested candidate inputs for a second application executed by the computing device(s); provide, in association with the second application, an interface comprising one or more options to select at least one suggested candidate input of the suggested candidate input(s); and responsive to receiving data indicating a selection of a particular suggested candidate input of the suggested candidate input(s) via the interface, communicate, to the second application, data indicating the particular suggested candidate input.

20200026395, Jan 23, 2020

Jul 17, 2018

16/037418

- Mountain View CA, US
Julian Odell - Kirkland WA, US
Seungyeon Kim - New York NY, US
Iulia Turc - Seattle WA, US
Daniel Ramage - Seattle WA, US
Wei Huang - Clyde Hill WA, US
Kaikai Wang - Bellevue WA, US

G06F 3/0482
G06F 3/0484

The present disclosure is directed to input suggestion. In particular, the methods and systems of the present disclosure can: receive, from a first application executed by one or more computing devices, data indicating information that has been presented by and/or input into the first application; generate, based at least in part on the received data, one or more suggested candidate inputs for a second application executed by the computing device(s); provide, in association with the second application, an interface comprising one or more options to select at least one suggested candidate input of the suggested candidate input(s); and responsive to receiving data indicating a selection of a particular suggested candidate input of the suggested candidate input(s) via the interface, communicate, to the second application, data indicating the particular suggested candidate input.

20190311458, Oct 10, 2019

Mar 18, 2019

16/356452

- Redmond WA, US
Wei HUANG - Bellevue WA, US
John HANCOCK - Bellevue WA, US
Patrick BAUMGARTNER - Kirkland WA, US
Drew VOEGELE - Kirkland WA, US

G06T 3/00

File exploration is facilitated by enabling zoom with respect to a thumbnail as a function of an identified point of interest. More particularly, a scaled thumbnail of the same size as a thumbnail can be presented as a function of an identified point of interest. Furthermore, navigation, among other things, is enabled to allow panning with respect to a scaled thumbnail, for instance.

20190287684, Sep 19, 2019

Sep 20, 2018

16/136984

- Seattle WA, US
Wei Huang - Bellevue WA, US

G16H 50/70
G16H 50/20
G16H 10/60
G06N 3/04

Apparatus, systems, devices, other articles of manufacture and associated methods are disclosed and described herein to process medical data to generate a classification of the medical data using artificial intelligence. An example apparatus includes a processor to execute instructions to implement a history of past illness (HPI) receiver to receive an HPI formatted as a string, the string including one or more words, the words organized in sentences, a natural language processor to tokenize the one or more words into tokens based on a context associated with at least one of the one or more words and a tensor generator to convert the tokens into hashes, each of the hashes forming a dimension of a tensor based on the context. The apparatus further includes a neural network to embed each of the hashes into vectors, process the vectors to classify the HPI as extended or brief based on a similarity to a set of classified HPIs and output a classification for the HPI. The apparatus further includes an electronic medical record modifier to modify an electronic medical record with the HPI and the classification and to trigger an action with respect to the electronic medical record based on the classification.