Maplebear Inc.

Cadence Design Systems, Inc.

Jian Wang

Aman Jain

Houtao Deng

Ganesh Krishnan

Zi Wang

Xiangyu Wang

Shuai Wang

Liang Chen

Abdelhakim Bouamama

Trace Levinson

Raja Mitra

Sonali Deepak Chhabria

An online concierge system provides arrival prediction services for a user placing an order to be retrieved by a shopper. An order may have a predicted arrival time predicted by a model that may err under some conditions. To reduce the likelihood of providing the predicted arrival time (and related services) when the arrival time may be incorrect, the prediction model and related services are throttled (e.g., selectively provided) based on one or more predicted delivery metrics, which may include a time to accept the order by a shopper and a predicted portion of late orders that will be delivered past the respective predicted arrival times. The predicted delivery metrics are compared with thresholds and the result of the comparison used to selectively provide, or not provide, the predicted delivery services.

Selectively providing machine learning model-based services

An online concierge system includes a marketplace automation engine for setting various control parameters affecting marketplace operation. The marketplace automation engine applies a hyperparameter learning model to the marketplace state data to predict a set of hyperparameters affecting a set of respective parameterized control decision models. The hyperparameter learning model is trained on historical marketplace state data and a configured outcome objective for the online concierge system. The marketplace automation engine independently applies the set of parameterized control decision models to the marketplace state data using the hyperparameters to generate a respective set of control parameters affecting marketplace operation of the online concierge system. The marketplace automation engine applies the respective set of control parameters to operation of the online concierge system.

Automation engine using a hyperparameter learning model to optimize sub-systems of an online system

An online concierge system delivers items from retailers to customers. The online concierge predicts a range of times during which an order may be fulfilled for presentation to a user. The online concierge system uses a trained maximum time prediction model to determine a maximum time for order fulfillment based on an order. A trained minimum time prediction model determines a minimum time for order fulfillment from the order and the maximum time. The minimum time may account for one or more rules (e.g., a percentage of orders fulfilled before the minimum time, a desired rate of selection of a range including the minimum time). A range bounded by the maximum time and the minimum time is transmitted to a customer to enable the customer to select a time interval for order fulfillment.

Generating a range of estimated fulfillment times for an order based on characteristics of an order

The present disclosure relates to a computer-implemented method for parasitic extraction. The method may include providing, using one or more processors, an electronic design having IP and/or metal fill content associated therewith. The method may further include identifying at least one layer associated with the content to be modeled and identifying at least one layer associated with the content to be ignored. The method may also include discarding one or more shapes associated with the at least one layer associated with the content to be modeled and replacing each discarded shape with an alternative shape. The method may further include modeling the electronic design including the alternative shape, wherein modeling is electrically aware in a horizontal and a vertical direction. The method may further include a spatial modeling approach where non-extractable shapes are exclusively grouped across the design area including multiple layers, keeping configurable spatial separation between neighboring extractable shapes.

System and method for electrically and spatially aware parasitic extraction

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Saratoga, CA, United States of America

Jian Wang