公开(公告)号：US20230080235A1

公开(公告)日：2023-03-16

申请号：US17760311

申请日：2021-02-01

Applicant: Nokia Technologies OY

Inventor： Alberto GIL RAMOS ,  Dmitry KAZHDAN ,  Fahim KAWSAR

IPC: G06N20/00 ,  G06N7/00

Abstract: Adapting Models for Artificial Intelligence An apparatus and method is disclosed, the apparatus comprising means for providing a first machine learning model for classifying first input data to one of a first number of classes, for receiving an input indicative of one or more new classes to add to the first machine learning model and for receiving second input data for allocating to the or each new class. The means may be configured to adapt the first machine learning model to provide a second machine learning model by adding the one or more new classes to the first number of classes and to train the second machine learning model using the first input data and the second input data.

公开(公告)号：US20230368025A1

公开(公告)日：2023-11-16

申请号：US18306513

申请日：2023-04-25

Applicant: Nokia Technologies Oy

Inventor： Ekdeep Singh LUBANA ,  Akhil MATHUR ,  Fahim KAWSAR

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: An apparatus, method and computer program is described comprising: obtaining local data comprising one or more samples at a user device; computing representations of at least some of said samples by passing said one or more samples through a local feature extractor; clustering the computed representations to generate local centroids; providing generated local centroids and parameters of the local feature extractor to a server; receiving global centroids and global feature extractor parameters from said server; updating the parameters of the local feature extractor based on the received global feature extractor parameters; assigning selected samples of one or more samples and one or more augmentations of said selected samples to global clusters; and further updating the updated parameters of the local feature extractor using machine learning principles, thereby generating a trained local feature extractor.

公开(公告)号：US20220330896A1

公开(公告)日：2022-10-20

申请号：US17760629

申请日：2020-08-31

Applicant: Nokia Technologies Oy

Inventor： Chulhong MIN ,  Alessandro MONTANARI ,  Fahim KAWSAR ,  Akhil MATHUR

IPC: A61B5/00 ,  G06N3/08

Abstract: This relates to the use of sensor evaluation in a multi-sensor environment. In a first aspect, this specification describes apparatus comprising: at least one processor; and at least one memory including computer program code. The at least one memory and the computer program code are configured to, with the at least one processor, cause the apparatus at least to perform: receive sensor data from a plurality of sensors collected during a first time period; process the received sensor data through a plurality of layers of a neural network to generate an output indicative of the sensing quality of each of the plurality of sensors for a task; and cause a subset of the plurality of sensors to collect data during a second time period based on the output indicative of the suitability of each of the plurality of sensors for the task.

公开(公告)号：US20240127077A1

公开(公告)日：2024-04-18

申请号：US18479484

申请日：2023-10-02

Applicant: Nokia Technologies Oy

Inventor： Alessandro MONTANARI ,  Fahim KAWSAR ,  Abu BAKAR

IPC: G06N5/02

CPC classification number: G06N5/02

Abstract: This specification describes systems, apparatus and methods for deploying Tsetlin machine models on resource-constrained devices. According to a first aspect of this specification, there is described apparatus comprising: one or more sensors; at least one processor; and at least one memory with storing instructions that, when executed by the at least one processor, cause the apparatus at to at least: collect one or more sets of sensor data using the one or more sensors; classify the one or more sets of sensor data using an encoded Tsetlin machine. The encoded Tsetlin machine comprises a compressed representation of a trained Tsetlin machine. The compressed representation is based on a number of exclude decisions of the trained Tsetlin machine being greater than a number of include decisions of the trained Tsetlin machine.

公开(公告)号：US20240000325A1

公开(公告)日：2024-01-04

申请号：US18318203

申请日：2023-05-16

Applicant: Nokia Technologies Oy

Inventor： Hoang TRUONG ,  Alessandro MONTANARI ,  Fahim KAWSAR

IPC: A61B5/021 ,  A61B7/04 ,  A61B5/00

CPC classification number: A61B5/02125 ,  A61B5/02427 ,  A61B5/6817 ,  A61B7/04

Abstract: An apparatus comprising: at least one photoplethysmography sensor configured to determine pulse information of a user; at least one audio sensor configured to determine heart sound information of the user; and means for determining, based, at least in part, on the pulse information and the heart sound information, blood pressure information of the user, wherein the at least one photoplethysmography sensor and the at least one audio sensor are comprised in an ear-worn device.

公开(公告)号：US20230222351A1

公开(公告)日：2023-07-13

申请号：US18150941

申请日：2023-01-06

Applicant: Nokia Technologies Oy

Inventor： Wiebke TOUSSAINT ,  Akhil MATHUR ,  Fahim KAWSAR

IPC: G06N3/09 ,  G06F16/28

CPC classification number: G06N3/09 ,  G06F16/285

Abstract: Example embodiments may relate to an apparatus, method and/or computer program for the updating, or tuning, of classifiers. For example, the method may comprise receiving data indicative of a positive or negative classification based on comparing an output value, generated by a computational model responsive to an input data, with a threshold value which divides a range of output values of the computational model into positive and negative classes of output values. A positive or a negative classification may be usable by the apparatus, or another apparatus, to trigger one or more processing operations. Other operations may comprise determining that the positive or negative classification is a false classification based on one or more events detected subsequent to generation of the output value and updating the threshold value responsive to determining that the positive or negative classification is a false classification.

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.

公开(公告)号：US20230394686A1

公开(公告)日：2023-12-07

申请号：US18322641

申请日：2023-05-24

Applicant: Nokia Technologies Oy

Inventor： Chulhong MIN ,  Utku Gunay ACER ,  Fahim KAWSAR ,  Juheon YI

IPC: G06T7/292 ,  G06V10/75 ,  G06T7/246

CPC classification number: G06T7/292 ,  G06V10/751 ,  G06T7/248 ,  G06T2207/10016

Abstract: An apparatus comprising:



multiple cameras including at least a first camera having a first field of view and a second camera having a second field of view, wherein the second camera is different to the first camera and the second field of view is different to the first field of view; and
identification means for identifying an object captured by one or more of the multiple cameras, wherein the identification means comprises means for:
using visual feature matching for a detected object in the first field of view of the first camera to identify the detected object in the first field of view of the first camera as a first object; and using an expected location of the first object in the second field of view of the second camera to identify a detected object in the second field of view as the first object.

公开(公告)号：US20230057740A1

公开(公告)日：2023-02-23

申请号：US17892806

申请日：2022-08-22

Applicant: Nokia Technologies Oy

Inventor： Alessandro MONTANARI ,  Fahim KAWSAR ,  Andrea FERLINI

IPC: A61B5/00

Abstract: A method is provided that includes determining a quality of a data portion of an input sensor data stream based, at least in part, on data of a first data type and determining between, at least, generation of two or more streams of a second, different data type including at least one synthesised data stream of the second data type. Determining between generation of two or more streams of a second, different data type is based, at least in part, on the determined quality. The synthesis is based, at least in part, on the data of the first data type. The method further includes causing generation of at least one stream of the second, different data type based, at least in part, on the determination between generation of two or more streams of the second, different data type.

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.