公开(公告)号：US20190050265A1

公开(公告)日：2019-02-14

申请号：US16146845

申请日：2018-09-28

Applicant: Intel Corporation

Inventor： Divya Vijayaraghavan ,  Denica Larsen ,  Kooi Chi Ooi ,  Lady Nataly Pinilla Pico ,  Min Suet Lim

IPC: G06F9/50 ,  G06N3/08 ,  G06K9/62 ,  G06F11/30 ,  G06N3/04

Abstract: Methods, apparatus, systems, and articles of manufacture for allocating a workload to an accelerator using machine learning are disclosed. An example apparatus includes a workload attribute determiner to identify a first attribute of a first workload and a second attribute of a second workload. An accelerator selection processor causes at least a portion of the first workload to be executed by at least two accelerators, accesses respective performance metrics corresponding to execution of the first workload by the at least two accelerators, and selects a first accelerator of the at least two accelerators based on the performance metrics. A neural network trainer trains a machine learning model based on an association between the first accelerator and the first attribute of the first workload. A neural network processor processes, using the machine learning model, the second attribute to select one of the at least two accelerators to execute the second workload.

公开(公告)号：US20190047462A1

公开(公告)日：2019-02-14

申请号：US16141710

申请日：2018-09-25

Applicant: Intel Corporation

Inventor： Divya Vijayaraghavan ,  Nageen Himayat ,  Florence Pon ,  Fatema Adenwala ,  Ankitha Chandran

IPC: B60P3/11 ,  G05D1/00 ,  B64C39/02

Abstract: In embodiments, a computer-assisted or autonomous driving (CA/AD) vehicle includes a docking platform to receive one or more unmanned aerial vehicles (UAVs) of different types to dock with the CA/AD vehicle, each UAV to include at least one sensor directed to a configurable specific use of the CA/AD vehicle, and a UAV interface to communicate with the one or more docked UAVs, including to receive sensor data obtained by the one or more UAVs. In embodiments, the CA/AD vehicle is configured to a specific use, based at least in part on the one or more UAVs docked with the CA/AD vehicle.