COMPUTER OPTIMIZATION OF TASK PERFORMANCE THROUGH DYNAMIC SENSING

WIPO Patent Application WO/2023/103764

A9

A method, computer program product, and system include a processor(s) that engages, based on a request for an inference, from a group of sensors of multiple modalities at a physical location, sensor(s) of a main modality to provide data to a pipeline to generate the inference. The pipeline includes one or more machine learning models which generate the inference for a downstream task. The processor(s) obtains raw data from the sensor(s) of the main modality and applies an outlier detector to the raw data. Based on determining that there is an outlier the processor(s) automatically engages sensor(s) of at least one different modality than the main modality from the group of sensors of multiple modalities and obtains new raw data from the sensor (s) of the at least one different modality. The processor(s) applies the one or more machine learning models to the new raw data to derive the inference.

WO/2022/091666	VEHICLE RECORDING CONTROL DEVICE AND VEHICLE RECORDING CONTROL METHOD
JP2023016687	VEHICLE WITH EMERGENCY NOTIFICATION FUNCTION AND SERVER DEVICE
JP7314864	Information providing system, information providing device and information providing program

LI JENNY (US)
DESAI NIRMIT (US)
JOSHI DHIRAJ (US)
RAMASWAMY RAGHU (IN)
RAJANI SATISH (IN)

PCT/CN2022/133422

December 14, 2023

November 22, 2022

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IBM (US)
IBM CHINA CO LTD (CN)

G08G1/00; G06N20/00

ZHONGZI LAW OFFICE (CN)

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