Qualcomm Incorporated

Acea Biosciences, Inc.

Sean Lee

Xiaobo Wang

Nan Li

Arunandan Sharma

Kilo Vilayphone

Methods, systems, and devices for training and verification of learning models are described. A device may capture a camera frame including a road feature of a physical environment, determine a first classification and a first localization of the road feature based on positioning information of the road feature from a high-definition map and positioning information of the device from a positioning engine. The device may analyze a learning model by comparing one or more of the first classification of the road feature or the first localization of the road feature in the camera frame to one or more of a second classification or a second localization of the road feature determined by the learning model. The device may then determine a loss comparison value and adapt the learning model according to the loss comparison value.

Training and verification of learning models using high-definition map information and positioning information

A method of collecting cells from individual wells of a multi-well plate for use in flow cytometry, the method including adding a suspension of cells to wells of the multi-well plate; and aspirating cells from different wells according to a collection pattern into a flow cytometer, wherein the collection pattern is a sequential ordering of wells beginning at a middle region of the multi-well plate and continuing towards an outer region of the multi-well plate. The method preferably including rotating or agitating the multi-well plate between steps of aspirating cells from different wells. Exemplary collection patterns include spiral-square collection pattern and a nearest well to center collection pattern.

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San Diego, CA, United States of America

Sean Lee