公开(公告)号：US20210304041A1

公开(公告)日：2021-09-30

申请号：US16834920

申请日：2020-03-30

Applicant: SEECHANGE TECHNOLOGIES LIMITED

Inventor： David PACKWOOD

IPC: G06N5/04 ,  G06N20/20 ,  G06N3/08 ,  G06N3/04 ,  H04L29/08

Abstract: A computing network has a sensor, a first processor in a first computing network location, and a second processor in a second computing network location, the second computing network location further from the sensor than the first computing network location. The first processor is configured to receive sensor data from the sensor and configured to operate a first machine learning model to make a first inference based on the sensor data. The second processor is configured to receive the sensor data and to operate a second machine learning model to make a second inference based on the sensor data in response to a trigger. The computing network is configured to collate and process the first and second inferences to make an aggregated inference.

公开(公告)号：US20230177391A1

公开(公告)日：2023-06-08

申请号：US17911558

申请日：2021-03-17

Applicant: SEECHANGE TECHNOLOGIES LIMITED

Inventor： David PACKWOOD ,  Michael Andrew PALLISTER ,  Ariel Edgar RUIZ-GARCIA ,  Nimesh Naresh PATEL ,  Eleftherios FANIOUDAKIS

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: Provided is machine learning apparatus comprising: a dataset for input to a training procedure of a machine learning model; data capture logic operable to capture from an object at least one datum for inclusion in the dataset; association logic operable to derive an additional characteristic of the object; annotator logic operable in response to the data capture logic and the association logic to create an annotation linking the additional characteristic with the at least one datum; storage logic operable to store the or each datum with an associated annotation in the dataset; and input logic to supply the dataset as machine learning input.