Abstract: A method is described and includes acquiring sensor data produced by sensors of a plurality of vehicles traversing an area including a location of a user, wherein the vehicles traversing the area comprise a subset of a fleet of vehicles for providing rideshare services; processing the acquired sensor data to determine a category of the user; selecting a vehicle from the fleet of vehicles based on the category of the user, wherein the selected vehicle comprises at least one accommodation corresponding to the category of the user; and dispatching the selected vehicle to a pick-up location designated by the user.

Abstract: Balancing content distribution between a machine learning model and a statistical model provides a baseline assurance in combination with the benefits of a well-trained machine learning model for content selection. In some implementations, a server receiving requests for a content item assigns a first proportion of the received requests to a first group and assigns remaining requests to a second group. The server uses a machine learning model to select variations of the requested content item for responding to requests assigned to the first group and uses a statistical model to select content variations for requests assigned to the second group. The server obtains performance information, e.g., acceptance rates for the different variations, and compares performance of the different models used for content selection. Audience share assigned to the machine learning model is increased when it outperforms the statistical model and decreased when it underperforms the statistical model.

Abstract: Stacked circuits are configured to facilitate post-stacking testing. According to one example, a stacked circuit may include a first die electrically coupled to a second die through a plurality of interconnects. The first die may include a test input interface configured to receive test data signals and a source test clock signal, a test output interface configured to convey test responses, a first test signal path, at least one first die-to-die output interface configured to convey to the second die the test data signals and a low-latency clock signal received from a low-latency clock path between the test input interface and the at least one first die-to-die output interface, and at least one first die-to-die input interface configured to receive test responses and the clock signal from the second die. Other aspects, embodiments, and features are also included.

Abstract: A method includes flowing gas comprising an oxidation inhibiting gas into a chamber of a semiconductor processing system. The chamber includes one or more of a factory interface of the semiconductor processing system or an adjacent chamber that is mounted to the factory interface. The method further includes receiving, via one or more sensors coupled to the chamber, sensor data indicating at least one of a current oxygen level within the chamber or a current moisture level within the chamber. The method further includes determining, based on the sensor data, whether to perform an adjustment of a current amount of the oxidation inhibiting gas entering into the chamber. The method further includes, responsive to determining to perform the adjustment, causing the adjustment of the current amount of the oxidation inhibiting gas entering into the chamber.

Abstract: A method includes flowing gas comprising an oxidation inhibiting gas into a chamber of a semiconductor processing system. The chamber includes one or more of a factory interface of the semiconductor processing system or an adjacent chamber that is mounted to the factory interface. The method further includes receiving, via one or more sensors coupled to the chamber, sensor data indicating at least one of a current oxygen level within the chamber or a current moisture level within the chamber. The method further includes determining, based on the sensor data, whether to perform an adjustment of a current amount of the oxidation inhibiting gas entering into the chamber. The method further includes, responsive to determining to perform the adjustment, causing the adjustment of the current amount of the oxidation inhibiting gas entering into the chamber.

Abstract: Balancing content distribution between a machine learning model and a statistical model provides a baseline assurance in combination with the benefits of a well-trained machine learning model for content selection. In some implementations, a server receiving requests for a content item assigns a first proportion of the received requests to a first group and assigns remaining requests to a second group. The server uses a machine learning model to select variations of the requested content item for responding to requests assigned to the first group and uses a statistical model to select content variations for requests assigned to the second group. The server obtains performance information, e.g., acceptance rates for the different variations, and compares performance of the different models used for content selection. Audience share assigned to the machine learning model is increased when it outperforms the statistical model and decreased when it underperforms the statistical model.

Abstract: Segregated test mode clock gating circuits in a clock distribution network of a circuit for controlling power consumption during testing is provided. To reduce power consumption and current-resistance (IR) drop during testing of a circuit, existing clock gating circuits (e.g., clock gating cells (CGCs)) that control the functional mode of circuit blocks in the circuit are additionally test mode gated for hierarchical testing of the circuit. To avoid the need to gate every CGC in the clock distribution network, only certain segregated clock gating circuits in the clock distribution network may be selected for test mode clock gating according to desired testing hierarchy of the circuit. Test mode clock gating of only certain segregated clock gating circuits in a circuit can reduce the number of test gating circuits providing test mode clock gating to mitigate power consumption and area needed for providing selective testing of circuit blocks in the circuit.

Abstract: The present invention is directed to a system that updates files with updated financial data. The system of the present invention is configured to receive from a user one or more selections of files (e.g., datastores of financial data utilized and/or referenced by financial reporting application for purposes of generating up-to-date financial reports) to be updated with updated financial data. The user is further enabled by the system of the present invention to schedule importations of updated financial data into each selected file. The system of the present invention also is configured to generate a report of complete file updates so that the user may more effectively monitor and review the file-updating processes.

Abstract: The present invention is directed to a system that updates files with updated financial data. The system of the present invention is configured to receive from a user one or more selections of files (e.g., datastores of financial data utilized and/or referenced by financial reporting application for purposes of generating up-to-date financial reports) to be updated with updated financial data. The user is further enabled by the system of the present invention to schedule importations of updated financial data into each selected file. The system of the present invention also is configured to generate a report of complete file updates so that the user may more effectively monitor and review the file-updating processes.

Abstract: Techniques are disclosed for generating a forward-looking, goal seeking marketing plan that links prior media purchase transactions to predicted future financial results for a brand, product market, or campaign. A computing device is configured to receive input data associated with one or more marketing elements, such as television ads, print ads, and online ads. From the input data, response factors corresponding to each marketing element can be calculated. These response factors can be used to generate a model upon which future marketing transactions can be planned in accordance with scenarios associated with a particular marketing campaign. A marketing plan can be generated from the model in which some or all marketing elements are ordered in a flighting schedule that provides optimum financial results for a selected scenario.