公开(公告)号：US20240177049A1

公开(公告)日：2024-05-30

申请号：US18058840

申请日：2022-11-25

Applicant: Amazon Technologies, Inc.

Inventor： Lakshmi Naarayanan Ramakrishnan ,  Andrea Olgiati ,  Ankur Mehrotra ,  Karthik Gurumoorthy Subramanya Bharathy ,  Rakesh Ramakrishnan

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: Confidential tuning of pre-trained machine learning models may be provided. A request associated with a model user account to fine-tune a pre-trained machine learning model with model access restrictions may be received. The pre-trained machine learning model may be one of many pre-trained machine learning models uploaded for selection and fine-tuning. The pre-trained machine learning model may be further trained using a request specified data set, with the model access restrictions and access restrictions for the data set being enforced as part of the training. Then, the fine-tuned machine learning model may be made available for invocation by an application associated with the model user account without violating the model access restrictions and data access restrictions.

公开(公告)号：US11940983B1

公开(公告)日：2024-03-26

申请号：US17491486

申请日：2021-09-30

Applicant: Amazon Technologies, Inc.

Inventor： Mohammad Adnan ,  Mohammed Talal Yassar Azam ,  Aditya Bahuguna ,  Fnu Syed Furqhan Ulla ,  Devesh Ratho ,  Ankita Verma ,  Ankur Mehrotra

IPC: G06F16/23 ,  G06N20/20

CPC classification number: G06F16/2365 ,  G06N20/20

Abstract: A service to provide anomaly detection receives a request to back-test the service. The request includes information for accessing a dataset of historical data. The service executes workflows to ingest the data, train a plurality of machine learning models to perform anomaly detection, and detect anomalies in the dataset. A representation of the detect anomalies is generated and presented to a user. The service receives an indication to activate the service to provide ongoing anomaly detection services.

公开(公告)号：US12192220B1

公开(公告)日：2025-01-07

申请号：US17851429

申请日：2022-06-28

Applicant: Amazon Technologies, Inc.

Inventor： Syed Ahsan Ishtiaque ,  Ketan Vijayvargiya ,  Mohammed Talal Yassar Azam ,  Jill Blue Lin ,  Mohammed Saad Ather ,  Ankur Mehrotra ,  Peter Goetz ,  Lenon Alexander Minorics ,  Patrick Bloebaum ,  Dominik Janzing ,  David Kernert ,  Sadanand Murthy Sachidananda ,  Shashank Srivastava ,  Laurent Callot ,  Ali Caner Turkmen

IPC: H04L9/40

Abstract: Techniques for anomaly and causality detection are described. An example includes receiving time series data; performing anomaly detection on the received time series data to detect at least one anomaly using an anomaly detection model; detecting a causal relationship between measures, wherein a set of measures are related when a first of the set of measures has a causal influence on a second of the set of measures, wherein a single time series is a metric and a measure is a numerical or categorical quantity a metric describes; and outputting a result of the anomaly and causality relationship detections.