18490719. ANOMALY DETECTION BASED ON MULTI-MODAL DATA ANALYSIS (AT&T Intellectual Property I, L.P.)
ANOMALY DETECTION BASED ON MULTI-MODAL DATA ANALYSIS
Organization Name
AT&T Intellectual Property I, L.P.
Inventor(s)
Zhengyi Zhou of Chappaqua NY US
Wen-Ling Hsu of Bridgewater NJ US
Guy Jacobson of Bridgewater NJ US
Huajie Shao of Williamsburg VA US
Viet Quoc Duong of Williamsburg VA US
ANOMALY DETECTION BASED ON MULTI-MODAL DATA ANALYSIS
This abstract first appeared for US patent application 18490719 titled 'ANOMALY DETECTION BASED ON MULTI-MODAL DATA ANALYSIS
Original Abstract Submitted
A method performed by a processing system including at least one processor includes collecting a set of data from a plurality of sensors that is monitoring a system, wherein the plurality of sensors includes sensors of a plurality of different modalities, detecting an instance of out-of-distribution data in the set of data by providing the set of data as an input to a machine learning model that generates as an output an indicator that the instance of out-of-distribution data is out-of-distribution with respect to the set of data, identifying a root cause for the instance of out-of-distribution data, and initiating an action to remediate the root cause of the instance of out-of-distribution data.
- AT&T Intellectual Property I, L.P.
- Zhengyi Zhou of Chappaqua NY US
- Venson Shaw of Kirkland WA US
- Qiong Wu of Bridgewater NJ US
- Wen-Ling Hsu of Bridgewater NJ US
- Guy Jacobson of Bridgewater NJ US
- Huajie Shao of Williamsburg VA US
- Viet Quoc Duong of Williamsburg VA US
- H04L41/0654
- H04L41/0631
- H04W4/38
- CPC H04L41/0654