Ignacio M Alvarez

20220342684, Oct 27, 2022

Dec 19, 2019

17/057391

- Santa Clara CA, US
Yong Yao - Cupertino CA, US
Bin Yang - Shanghai, CN
Ignacio Alvarez - Portland OR, US
Jia Bao - Shanghai, CN

INTEL CORPORATION - Santa Clara CA

G06F 9/455
G06F 9/50

Method, systems and apparatuses may include technology that identifies a second computing platform that includes a second hardware device that satisfies one or more conditions. The second hardware device is associated with a hardware abstraction layer on the second computing platform. The second computing platform is coupled to a first computing platform. The technology may further include generating a virtual hardware abstraction layer that is to represent the hardware abstraction layer on the second computing platform.

20220332350, Oct 20, 2022

Nov 4, 2020

17/641414

- Santa Clara CA, US
Yaser FOUAD - San Diego CA, US
Ignacio ALVAREZ - Portland OR, US
Leonardo GOMES BALTAR - Muenchen, DE

B60W 60/00
B60W 30/095

Disclosed embodiments include technologies related to Maneuver Coordination Services (MCS) in vehicular networks. Embodiments include Emergency Group Maneuver Coordination (EGMC) for detected unexpected safety-critical situations (USCS) on the road. EGMC provides cooperative maneuver coordination among a group of vehicles to ensure safer collective actions in the case of USCS. Embodiments include Maneuver Coordination Message (MCM) format and structure, details of contents of MCM message, and procedures for Generation and Transmission of MCM with reduced communication overhead. Other embodiments are described and/or claimed.

20230020169, Jan 19, 2023

Sep 27, 2022

17/953565

Amr Mokhtar - Limerick, IE
Hassnaa Moustafa - San Jose CA, US
Ignacio J. Alvarez - Portland OR, US

H04L 67/12

System and techniques for trusted lightweight communication in cloud robotics are described herein. A device for trusted lightweight communication in cloud robotics can include a memory having instructions and processing circuitry. When in operation, the processing circuitry can be configured by the instructions to receive a first report from a first device after the first device runs a first algorithm and a second report from a second device after the second device runs the first algorithm with an edge controller. The first algorithm can be stored on a distributed ledger. Consensus between the first device and the second device can be determined by agreement between the first report and the second report. An entry, indicative of consensus between the first device and the second device, can be added to the distributed ledger.

20210108939, Apr 15, 2021

Dec 22, 2020

17/131427

Nesreen K. Ahmed - Santa Clara CA, US
Ignacio J. Alvarez - Portland OR, US
Ravikumar Balakrishnan - Beaverton OR, US
Hesham Mostafa - San Diego CA, US
Giuseppe Raffa - Portland OR, US
Nageen Himayat - Fremont CA, US

G01C 21/34
G06N 20/00
G06N 3/08

Methods, systems, and computer programs are presented for implementing Personalized Mobility as a Service (PMaaS) to improve transportation services delivery. One storage medium includes instructions for detecting, by a mobility as a service (MaaS) system, a request for a trip from a user device of a user. The storage medium further includes instructions for mapping, using a model executing on the machine, the user to a persona from a plurality of persona models. Each persona model has one or more characteristics associated with users of the MaaS system. Further yet, the storage medium includes instructions for determining trip parameters for the trip based on the persona mapped to the user, the trip parameters defining one or more trip segments for the trip, and instructions for providing trip parameters to the user device.

20190325292, Oct 24, 2019

Jun 28, 2019

16/457413

- Santa Clara CA, US
Justin Gottschlich - Santa Clara CA, US
Javier Sebastian Turek - Beaverton OR, US
Ignacio Javier Alvarez - Portland OR, US
David Israel Gonzalez Aguirre - Hillsboro OR, US
Javier Felip Leon - Hillsboro OR, US

G06N 3/04
G06F 16/28
G06F 16/245
G06F 16/901
G06N 3/08

Methods, apparatus, systems and articles of manufacture for providing query selection systems are disclosed. An example query selection system includes a processor to: analyze a graph database; identify respective ones of objects associated with the graph database; obtain properties associated with the objects; identify common properties present in the respective ones of the objects; in response to determining the common properties present in the identified objects, output a list of the common properties corresponding to the respective ones of the objects; generate a table for the common properties and the respective ones of the objects; and populate the table with the common properties and the respective ones of the objects from the graph database to establish a relational database. The system further includes a machine learning model classifier to enable relational database query searching via the relational database.

20190220003, Jul 18, 2019

Mar 27, 2019

16/366120

- Santa Clara CA, US
Nilesh Ahuja - Cupertino CA, US
Avinash Kumar - Santa Clara CA, US
Jason Martin - Beaverton OR, US
Ignacio J. Alvarez - Portland OR, US

G05D 1/00
H04W 4/46
G06N 7/00
G06K 9/62
G06K 9/00

Disclosures herein may be directed to a method, technique, or apparatus directed to a CA/AD that includes a system controller, disposed in a first CA/AD vehicle, to manage a collaborative three-dimensional (3-D) map of an environment around the first CA/AD vehicle, wherein the system controller is to receive, from another CA/AD vehicle proximate to the first CA/AD vehicle, an indication of at least a portion of another 3-D map of another environment around both the first CA/AD vehicle and the other CA/AD vehicle and incorporate the at least the portion of the 3-D map proximate to the first CA/AD vehicle and the other CA/AD vehicle into the 3-D map of the environment of the first CA/AD vehicle managed by the system controller.