At&t Intellectual Property I, L.p.

At&t Mobility Ii LLC

Brandon Duong

Erie Lai Har Lau

Lan Scott

A connected-device network can continually learn from abstract sensory data (e.g., speech processing, cognitive inference, and/or computer vision image segmentation) and can generate never-seen-before data in real time. In one aspect, the network devices extract important correlations in the sensor data based on network data collected at different time slice and/or locations. Further, underlying relationships in a set of data can be detected as the sensor data transverses through different layers of the network. Moreover, the network devices can provide logic in different layers to help classify the sensor data early in the detection process (e.g., instead of waiting for it to reach its final destination).

Growing community of inventors

Bothell, WA, United States of America

Brandon Duong