公开(公告)号：US20220114451A1

公开(公告)日：2022-04-14

申请号：US17559730

申请日：2021-12-22

Applicant: Intel Corporation

Inventor： Chaunté W. Lacewell ,  Juan Pablo Muñoz ,  Rajesh Poornachandran ,  Nilesh Jain ,  Anahita Bhiwandiwalla ,  Eriko Nurvitadhi ,  Abhijit Davare

IPC: G06N3/08 ,  G06N3/063 ,  G06N3/04

Abstract: Methods, apparatus, systems, and articles of manufacture for data enhanced automated model generation are disclosed. Example instructions, when executed, cause at least one processor to access a request to generate a machine learning model to perform a selected task, generate task knowledge based on a previously generated machine learning model, create a search space based on the task knowledge, and generate a machine learning model using neural architecture search, the neural architecture search beginning based on the search space.

公开(公告)号：US20210090327A1

公开(公告)日：2021-03-25

申请号：US17112792

申请日：2020-12-04

Applicant: Intel Corporation

Inventor： Jill Boyce ,  Soethiha Soe ,  Selvakamur Panneer ,  Adam Lake ,  Nilesh Jain ,  Deepak Vembar ,  Glen J. Anderson ,  Varghese George ,  Carl Marshall ,  Scott Janus ,  Saurabh Tangri ,  Karthik Veeramani ,  Prasoonkumar Surti

IPC: G06T17/00 ,  G06N3/04 ,  G06N3/08 ,  G06T7/20 ,  G06K9/72 ,  G06F3/01 ,  G06K9/62

Abstract: Embodiments are directed to neural network processing for multi-object three-dimensional (3D) modeling. An embodiment of a computer-readable storage medium includes executable computer program instructions for obtaining data from multiple cameras, the data including multiple images, and generating a 3D model for 3D imaging based at least in part on the data from the cameras, wherein generating the 3D model includes one or more of performing processing with a first neural network to determine temporal direction based at least in part on motion of one or more objects identified in an image of the multiple images or performing processing with a second neural network to determine semantic content information for an image of the multiple images.

公开(公告)号：US20210014303A1

公开(公告)日：2021-01-14

申请号：US17033370

申请日：2020-09-25

Applicant: Intel Corporation

Inventor： Francesc Guim Bernat ,  Andrew J. Herdrich ,  Kshitij Arun Doshi ,  Monica Kenguva ,  Ned M. Smith ,  Nilesh Jain ,  Brinda Ganesh ,  Rashmin Patel ,  Alexander Vul

IPC: H04L29/08 ,  H04L29/06 ,  H04L12/24

Abstract: Example methods, apparatus, and systems to manage quality of service with respect to service level agreements in a computing device are disclosed. An example apparatus includes a first mesh proxy assigned to a first platform-agnostic application, the first mesh proxy to generate a first resource request signal based on a first service level agreement requirement from the first platform-agnostic application; a second mesh proxy assigned to a second platform-agnostic application, the second mesh proxy to generate a second resource request signal based on a second service level agreement requirement from second platform-agnostic application; and a load balancer to allocate hardware resources for the first platform-agnostic application and the second platform-agnostic application based on the first resource request signal and the second resource request signal.

公开(公告)号：US20190130639A1

公开(公告)日：2019-05-02

申请号：US16234463

申请日：2018-12-27

Applicant: Intel Corporation

Inventor： Jill Boyce ,  Soethiha Soe ,  Selva Panneer ,  Adam Lake ,  Nilesh Jain ,  Deepak Vembar ,  Glen J. Anderson ,  Varghese George ,  Carl Marshall ,  Scott Janus ,  Saurabh Tangri ,  Karthik Veeramani ,  Prasoonkumar Surti

IPC: G06T17/00 ,  G06N3/04 ,  G06N3/08 ,  G06T7/20 ,  G06K9/72 ,  G06K9/62 ,  G06F3/01

Abstract: Embodiments are directed to neural network processing for multi-object three-dimensional (3D) modeling. An embodiment of a computer-readable storage medium includes executable computer program instructions for obtaining data from multiple cameras, the data including multiple images, and generating a 3D model for 3D imaging based at least in part on the data from the cameras, wherein generating the 3D model includes one or more of performing processing with a first neural network to determine temporal direction based at least in part on motion of one or more objects identified in an image of the multiple images or performing processing with a second neural network to determine semantic content information for an image of the multiple images.

公开(公告)号：US20190049950A1

公开(公告)日：2019-02-14

申请号：US16133263

申请日：2018-09-17

Applicant: Intel Corporation

Inventor： Rajesh Poornachandran ,  Ravishankar Iyer ,  Nilesh Jain ,  James Kim

IPC: G05D1/00 ,  G06T19/00

Abstract: Embodiments include apparatuses, methods, and systems for computer assisted or autonomous driving (CA/AD). An apparatus for CA/AD may include a data aggregation unit, an environment mapping unit coupled to the data aggregation unit, and a mixed reality content unit coupled to the environment mapping unit. The data aggregation unit collects data from one or more data sources. The environment mapping unit determines, based at least in part on the collected data from the one or more data sources or historical environment data, information about a driving environment associated with a route for the CA/AD vehicle. The mixed reality content unit determines a mixed reality content to be presented to a user according to the information about the driving environment associated with the route to generate an immersive mixed reality experience for the user. Other embodiments may also be described and claimed.