Abstract: A force sensor includes: a substrate that forms a three-dimensional, 3D, body disposed about a central z-axis of an r, ?, z-cylindrical coordinate system, the 3D body having a first surface, an second surface, and a sidewall disposed between the first and second surfaces, wherein the sidewall at least partially encloses a void in the 3D body that extends from and through the first surface to and through the second surface; an electrical circuit disposed on either one of the first surface or the second surface, the electrical circuit having at least one strain gauge, and a plurality of electrical terminals electrically connected to the at least one strain gauge; wherein the sidewall includes at least one strain focusing feature; wherein the at least one strain gauge is disposed proximate to the at least one strain focusing feature.

Abstract: In a general aspect, a quantum computing method is described. In some aspects, a control system in a quantum computing system assigns subsets of qubit devices in a quantum processor to respective cores. The control system identifies boundary qubit devices residing between the cores in the quantum processor and generates control sequences for each respective core. A signal delivery system in communication with the control system and the quantum processor receives control signals to execute the control sequences, and the control signals are applied to the respective cores in the quantum processor.

Abstract: An auto-replenishment platform may receive retailer, manufacturer, and 3rd party consumer data on a regular time interval, via their e-commerce platforms. The auto-replenishment platform, via a harmonization engine, may aggregate all data sets, mine the aggregated data, and then cluster the data. Subsequently, the auto-replenishment platform may generate a consumer model for predicting the consumer demand for a product, factors that influence a consumer's perception of convenience or ease in purchasing that product, and for aggregating a consumer's purchased products for shipment or pickup. The auto-replenishment platform may send the consumer model to the retailer, manufacturer, and 3rd party e-commerce platforms to integrate the auto-replenishment platform into those platforms.

Abstract: An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.

Abstract: An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.

Abstract: Techniques are described controlling and managing machines to provide laundry services. A request may be received from a mobile device of a user, the request indicating that the mobile device is in proximity to a laundry machine such as a washer or dryer. In some cases, the request is sent by the mobile device based on detecting, at the mobile device, a wireless signal transmitted from the laundry machine. In some cases the request may include a code that identifies the laundry machine, the code being displayed by the machine and/or encoded in a scannable code displayed by the machine. In response to the request, a signal may be sent to activate the laundry machine and enable the user to use the laundry machine for a predetermined period of time (e.g., a cycle). In some cases, the activation signal is sent if the user's payment is successfully processed.

Abstract: An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.

Abstract: Described herein are techniques for generating a product strategy that may be implemented by a seller to optimize a product's prominence within a product listing generated by an electronic retailer. In some embodiments, a number of user segments may be generated for a product category into which the product falls. The system then identifies a target user segment for the product from the number of user segments. Once a target user segment has been identified, revisions to product data associated with the product may be determined based upon a set of search terms associated with the target user segment. The revisions may be provided to a seller of the product via a product strategy for implementation, either as a revised product data or as a set of recommended revisions to the product data.

Abstract: Described herein are techniques for generating a product strategy that may be implemented by a seller to optimize a product's prominence within a product listing generated by an electronic retailer. In some embodiments, a number of user segments may be generated for a product category into which the product falls. The system then identifies a target user segment for the product from the number of user segments. Once a target user segment has been identified, revisions to product data associated with the product may be determined based upon a set of search terms associated with the target user segment. The revisions may be provided to a seller of the product via a product strategy for implementation, either as a revised product data or as a set of recommended revisions to the product data.

Abstract: An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.

Abstract: An auto-replenishment platform may receive consumer data, retailer data and product data for a set time period, via an e-commerce platform of a retailer or manufacturer that sells products and services directly to the public. Using the consumer data, the auto-replenishment platform may determine the auto-replenishment product basket for the consumer. Subsequently, the auto-replenishment platform may generate a consumer model for the consumer, based at least on the consumer data, the retailer data, and the manufacturer data, for predicting the consumer auto-replenishment shopping cart, consumer behavior, and determining alternate auto-replenishment products and discounts for the consumer. The auto-replenishment platform may send the consumer model to the e-commerce retailer and suggest auto-replenishment products and discounts to the consumer.

Abstract: An auto-replenishment platform may receive retailer, manufacturer, and 3rd party consumer data on a regular time interval, via their e-commerce platforms. The auto-replenishment platform, via a harmonization engine, may aggregate all data sets, mine the aggregated data, and then cluster the data. Subsequently, the auto-replenishment platform may generate a consumer model for predicting the consumer demand for a product, factors that influence a consumer's perception of convenience or ease in purchasing that product, and for aggregating a consumer's purchased products for shipment or pickup. The auto-replenishment platform may send the consumer model to the retailer, manufacturer, and 3rd party e-commerce platforms to integrate the auto-replenishment platform into those platforms.

Abstract: Techniques are described controlling and managing machines to provide laundry services. A request may be received from a mobile device of a user, the request indicating that the mobile device is in proximity to a laundry machine such as a washer or dryer. In some cases, the request is sent by the mobile device based on detecting, at the mobile device, a wireless signal transmitted from the laundry machine. In some cases the request may include a code that identifies the laundry machine, the code being displayed by the machine and/or encoded in a scannable code displayed by the machine. In response to the request, a signal may be sent to activate the laundry machine and enable the user to use the laundry machine for a predetermined period of time (e.g., a cycle). In some cases, the activation signal is sent if the user's payment is successfully processed.

Abstract: An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.

Abstract: Techniques are described for communicating with and controlling a laundry machine. In some cases, the laundry machine emits, using at least one wireless network interface, a beacon signal that identifies a laundry machine. The beacon signal may be detectable by a mobile device and, based on the signal, the mobile device may determine that it is in proximity to the laundry machine. In some implementations, the determination that the mobile device is in proximity to the laundry machine may be based on receiving, from the mobile device, a request that includes a code associated with the laundry machine. A network interface of the laundry machine may receive a control signal to alter an operational state of the laundry machine to enable its use. In some cases, the sending of the control signal is caused by the determination that the mobile device is in proximity to the laundry machine.

Abstract: Techniques are described controlling and managing machines to provide laundry services. A request may be received from a mobile device of a user, the request indicating that the mobile device is in proximity to a laundry machine such as a washer or dryer. In some cases, the request is sent by the mobile device based on detecting, at the mobile device, a wireless signal transmitted from the laundry machine. In some cases the request may include a code that identifies the laundry machine, the code being displayed by the machine and/or encoded in a scannable code displayed by the machine. In response to the request, a signal may be sent to activate the laundry machine and enable the user to use the laundry machine for a predetermined period of time (e.g., a cycle). In some cases, the activation signal is sent if the user's payment is successfully processed.

Abstract: An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.

Abstract: An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.

Abstract: An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.

Abstract: Techniques are described controlling and managing machines to provide laundry services. A request may be received from a mobile device of a user, the request indicating that the mobile device is in proximity to a laundry machine such as a washer or dryer. In some cases, the request is sent by the mobile device based on detecting, at the mobile device, a wireless signal transmitted from the laundry machine. In some cases the request may include a code that identifies the laundry machine, the code being displayed by the machine and/or encoded in a scannable code displayed by the machine. In response to the request, a signal may be sent to activate the laundry machine and enable the user to use the laundry machine for a predetermined period of time (e.g., a cycle). In some cases, the activation signal is sent if the user's payment is successfully processed.