CPC Class H04W

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for agent trajectory prediction using vectorized inputs.

An embodiment relates to a system of a vehicle comprising a first vehicle ecosystem module comprising a first communication system and a first vehicle ecosystem unit comprising a local environment matrix, and a global governance module that is internal or external to the system, wherein the global governance module comprises a learning agent and a second communication system comprising a protocol unit, wherein the learning agent is configured to learn continuously and update rules for an outcome of the first vehicle ecosystem module when power in the vehicle is turned on, wherein the system is configured for autonomous communication between the first vehicle ecosystem unit and a second vehicle ecosystem unit, wherein the second vehicle ecosystem unit is either internal or external to the system.

Techniques disclosed herein relate to nutritional content determination based on gesture detection data. In some embodiments, the techniques involve obtaining gesture detection data corresponding to consumption of a food item or a drink; determining, based on the gesture detection data, nutritional content of the food item or the drink; and causing delivery of insulin in accordance with the nutritional content of the food item or the drink.

Various device attributes associated with a current event may be obtained. Similarity metrics may be determined that indicate a degree of similarity between the device attributes that are associated with the current event and stored device attributes that are associated with previous events and previously created fuzzy device identifiers. A fuzzy device identifier may be assigned to the current event based at least in part on a comparison of the similarity metrics with a threshold. If none of the similarity metrics compare favorably with the threshold, then a new fuzzy device identifier may be created for the current event. However, if at least one of the similarity metrics compares favorably with the threshold, then the previously created fuzzy device identifier whose stored device attributes are most similar to the device attributes that are associated with the current event may be assigned to the current event.

A computer program product for prioritizing order fulfillment at a retail sales facility receives purchase request information at a retail sales computing device that includes identifying information and order information for the first customer, receives location information for the first customer, processes the received location information for the first customer together with location information of the retail sales facility to predict an estimated time of arrival (ETA) for the first customer at the retail sales facility, schedules a time interval for acquiring updated location information for the first customer, and places the identifying information, order information and ETA for the first customer in an order fulfillment queue for all current customers. Entries in the order fulfillment queue are ordered in increasing ETA order. ETA is continuously updated for each customer, and thereby the order for fulfilling customer orders in the order fulfillment queue. For example, if a customer's distance from the retail sales facility increases (for example, due to a mistaken turn), that customer's order will drop to a later-served position in the queue. The location information for the first customer includes GPS-based location information of the first customer that is captured by a GPS device associated with a mobile computing device of the first customer. The location information for the retail sales facility includes GPS-based location information of the retail sales facility. The ETA prediction is performed using the GPS-based location information of the first customer and the GPS-based location information of the retail sales facility.