公开(公告)号：US20210403004A1

公开(公告)日：2021-12-30

申请号：US17471411

申请日：2021-09-10

申请人： Intel Corporation

发明人： Ignacio J. Alvarez ,  Marcos Carranza ,  Ralf Graefe ,  Francesc Guim bernat ,  Cesar Martinez-spessot ,  Dario Oliver ,  Selvakumar Panneer ,  Michael Paulitsch ,  Rafael Rosales

IPC分类号： B60W40/09 ,  G06K9/62 ,  G06N20/00 ,  H04W4/40

摘要： Techniques are disclosed to address issues related to the use of personalized training data to supplement machine learning trained models for Driver Monitoring System (DMS), and the accompanying mechanisms to maintain confidentiality of this personalized training data. The techniques disclosed herein also address issues related to maintaining transparency with respect to collected sensor data used in a DMS. Additionally, the techniques disclosed herein facilitate the generation of a digital representation of a driver for use as supplemental training data for the DMS machine learning trained models, which allow for DMS algorithms to be tailored to individual users.

公开(公告)号：US11996992B2

公开(公告)日：2024-05-28

申请号：US17851853

申请日：2022-06-28

申请人： Intel Corporation

发明人： Ned M. Smith ,  S M Iftekharul Alam ,  Satish Chandra Jha ,  Vesh Raj Sharma Banjade ,  Christian Maciocco ,  Kshitij Arun Doshi ,  Francesc Guim bernat ,  Nageen Himayat

IPC分类号： H04L41/16 ,  H04L41/12 ,  H04L41/5006 ,  H04L41/5009 ,  H04L41/5019

CPC分类号： H04L41/5019 ,  H04L41/12 ,  H04L41/16 ,  H04L41/5006 ,  H04L41/5009

摘要： Various systems and methods for providing opportunistic placement of compute in an edge network are described herein. A node in an edge network may be configured to access a service level agreement related to a workload, the workload to be orchestrated for a user equipment by the node; modify a machine learning model based on the service level agreement; implement the machine learning model to identify resource requirements to execute the workload in a manner to satisfy the service level agreement; initiate resource assignments from a resource provider, the resource assignments to satisfy the resource requirements; construct a resource hierarchy from the resource assignments; initiate execution of the workload using resources from the resource hierarchy; and monitor and adapt execution of the workload based on the resource hierarchy in response to the execution of the workload.