公开(公告)号：US20240211793A1

公开(公告)日：2024-06-27

申请号：US18069719

申请日：2022-12-21

Applicant: QUALCOMM Incorporated

Inventor： Duseok KANG ,  Yunseong LEE ,  Yeonseok KIM ,  Lee JOOSEONG ,  Kyu Woong HWANG

IPC: G06N20/00 ,  G06F18/213 ,  G06F18/2451

CPC classification number: G06N20/00 ,  G06F18/213 ,  G06F18/2451

Abstract: Certain aspects of the present disclosure provide techniques for processing streaming data using machine learning models. An example method generally includes generating a first feature map for a first set of streaming data using a machine learning model. To generate the first feature map, results of one or more operations performed on each respective item in the first set of streaming data are combined into the first feature map, and the results of the one or more operations performed for each respective item in the first set of streaming data are combined into the first feature map. A second feature map is generated for a second set of streaming data using the machine learning model. A result of processing the total set of data through the machine learning model is generated based at least on a combination of the first feature map and the second feature map.

公开(公告)号：US20220067479A1

公开(公告)日：2022-03-03

申请号：US17274602

申请日：2019-10-08

Applicant: QUALCOMM Incorporated

Inventor： Mingu LEE ,  Wonil CHANG ,  Yeonseok KIM ,  Kyu Woong HWANG ,  Yin HUANG ,  Ruowei WANG ,  Haijun ZHAO ,  Janghoon CHO

IPC: G06N3/02 ,  G01C21/36 ,  G06N7/00

Abstract: Certain aspects of the present disclosure are generally directed to apparatus and techniques for event state detection. One example method generally includes receiving a plurality of sensor signals at a computing device, determining, at the computing device, probabilities of sub-event states based on the plurality of sensor signals using an artificial neural network for each of a plurality of time intervals, and detecting, at the computing device, the event state based on the probabilities of the sub-event states via a state sequence model.