Methods and systems for providing information associated with a location history of a mobile device to one or more applications are disclosed. A mobile device generates one or more location history records based on one or more locations of the mobile device, each location history record comprising one or more points of interest and a duration at the one or more points of interest, receives an information request from at least one application, determines a subset of the one or more location history records that meet criteria from the information request, determines a level of permission for the at least one application based on the information request and the subset of the one or more location history records, and provides information associated with the subset of the one or more location history records to the at least one application based on the level of permission.

This specification describes technologies relating to inferring interactions with advertisers. In general, one aspect of the subject matter described in this specification can be embodied in methods that include providing an online advertisement to a system, receiving data from the system indicating an interaction of the system with the online advertisement and data indicating a subsequent interaction of the system with an online resource of an advertiser associated with the online advertisement, and inferring that an advertisement conversion has occurred based on the received data. Other embodiments of this aspect include corresponding systems, apparatus, and computer program products.

Systems and methods for using analyzed social media data to predict a forward resource market and automatically execute a resource transaction accordingly. An example system may include a machine having a resource requirement and a controller. The controller may include: a resource requirement circuit to determine an amount of a resource needed; a social media data circuit to interpret data from social media data sources; a forward resource market circuit to access a forward resource market; and a market forecasting circuit to predict a forward market price of the resource in response to the interpreted social media data. A resource distribution circuit may execute a resource transaction on the forward resource market in response to the determined amount of the resource and the predicted forward market price.

System, methods, and apparatus for arbitrage assisted resource transactions are disclosed. An example system includes a machine having a resource requirement and a controller. The controller includes a resource requirement circuit to determine an amount of a resource needed; a resource market circuit to access a resource market; a market testing circuit to execute a first transaction of the resource in response to the determined amount of the resource; and an arbitrage execution circuit to execute a second transaction of the resource on the resource market in response to the determined amount of the resource and an outcome of the execution of the first transaction, wherein the second transaction comprises a larger transaction than the first transaction.

Systems and methods for providing a report of an analytic result value based on IP data are disclosed. An example system may include a controller configured to: access a distributed ledger comprising a plurality of intellectual property (IP) data corresponding to a plurality of IP assets, wherein the plurality of IP assets comprises an aggregate stack of IP; tokenize the plurality of IP data; interpret a distributed ledger operation corresponding to at least one of the plurality of IP assets; determine an analytic result value in response to the distributed ledger operation and the tokenized plurality of IP data; provide a report of the analytic result value; and record a transaction on the distributed ledger in response to providing the report.

Methods for adjusting an operation of a task system or executing a transaction in response to a forecast of a forward market value are disclosed. An example method may include interpreting a resource utilization requirement for a task system having at least one of a compute task, a network task, or a core task; interpreting a behavioral data source; operating a machine to forecast a forward market value for a resource in response to the resource utilization requirement and the behavioral data source; and performing one of adjusting an operation of the task system or executing a transaction, in response to the forecast of the forward market value for the resource.

Systems and methods for executing a crypto-currency transaction in response to a predicted forward market price are disclosed. An example system may include a controller configured to: interpret a resource utilization requirement for a task system having at least one of a compute task, a network task, or a core task; interpret a plurality of external data sources, wherein the plurality of external data sources comprises at least one data source outside of the task system; operate an expert system to predict a forward market price for a resource in response to the resource utilization requirement and the plurality of external data sources; and execute a cryptocurrency transaction on a resource market in response to the predicted forward market price.

Systems and methods for machine forward energy purchase based on model simulation on a digital twin are disclosed. An example system may include an energy and compute facility including at least one of an energy source or an energy utilization requirement, and a controller. The controller may include a facility model circuit to operate a digital twin for the facility; a facility description circuit to interpret a set of parameters from the digital twin for the facility; and a facility configuration circuit to operate an adaptive learning system, wherein the adaptive learning system adjusts a facility configuration based on the set of parameters from the digital twin based, at least in part, on the energy source or the energy utilization requirement, and an energy credit forward market.

Systems and methods for machine forward energy purchase based on model simulation on a digital twin are disclosed. An example system may include an energy and compute facility including: at least one of an energy source or an energy utilization requirement; and a controller. The controller may include a facility model circuit to operate a digital twin for the facility; a facility description circuit to interpret a set of parameters from the digital twin for the facility; and a facility configuration circuit to operate an adaptive learning system, wherein the adaptive learning system is configured to adjust a facility configuration based on the set of parameters from the digital twin based at least in part on the energy source or the energy utilization requirement and an energy spot market.

The path the consumer takes on a commute may be determined and merchants that desire the group of consumers and that are on the commuting path may allow merchants to provide advertisements and offers to desired consumer group that have indicated they desire offers and advertisements.