公开(公告)号：US20210376604A1

公开(公告)日：2021-12-02

申请号：US16753658

申请日：2018-11-06

Applicant: Nokia Technologies OY

Inventor： Akhil MATHUR ,  Sourav BHATTACHARYA ,  Fahim KAWSAR ,  Nicholas LANE ,  Mohammed ALLOULAH ,  Chulhong MIN

IPC: H02J3/00 ,  H02J3/14

Abstract: In one embodiment, the method includes obtaining, by a first processing device, energy demand data representative of the energy consumption of respective tasks of a processing pipeline, obtaining, by the first processing device, battery availability data representative of the available energy of the batteries of other respective processing devices, for respective tasks of the processing pipeline, selecting, by the first processing device, one of the processing devices for executing the task, as a function of the energy demand data and the battery availability data, and controlling, by the first processing device, the execution of the respective tasks on the selected processing devices.

公开(公告)号：US20200027442A1

公开(公告)日：2020-01-23

申请号：US16513212

申请日：2019-07-16

Applicant: Nokia Technologies Oy

Inventor： Akhil MATHUR ,  Anton ISOPOUSSU ,  Nicholas LANE ,  Fahim KAWSAR

IPC: G10L15/01 ,  G06N20/00 ,  G06N3/08 ,  G10L21/02 ,  G10L15/06 ,  G10L15/18 ,  G10L15/16

Abstract: An apparatus comprising means for: using a generative neural network, trained to translate first sensor data to simulated second sensor data, to translate input first sensor data from a first sensor to simulated second sensor data; and providing the simulated second sensor data to a different, specific-task, machine-learning model for processing at least second sensor data.