C3.ai, Inc.

Chih-Hsu Lin

Romain Florian Juban

Amir Hossein Delgoshaie

Shouvik Mani

Bryan C Anderson

Zhaoxi Zhang

Franklin Q Ye

A method includes obtaining information associated with multiple collocation events. Each collocation event is associated with an occurrence where multiple entities were collocated with one another. The information associated with each collocation event identifies the entities associated with the collocation event, a duration of the collocation event, one or more locations associated with the collocation event, and a time associated with the collocation event. The method also includes identifying strengths of different relationships involving different ones of the entities based on the information. The strengths are determined using one or more features of the collocation events.

Entity relation strength identification using spatiotemporal data

A method includes obtaining an engineering schematic containing multiple symbols and connections involving the symbols, where different ones of the symbols in the engineering schematic represent different types of equipment. The method also includes identifying visual features of the engineering schematic. The method further includes processing the visual features using at least one trained machine learning model to (i) identify boundaries around the symbols in the engineering schematic and (ii) classify the symbols in the engineering schematic into multiple classifications, where different ones of the classifications are associated with different types of symbols.

Data-efficient object detection of engineering schematic symbols

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Belmont, CA, United States of America

Chih-Hsu Lin