Transaction systems and methods are disclosed. A system may include a controller having a transaction detection circuit to interpret a transaction request value, wherein the transaction request value includes a transaction description for one of a proposed or an imminent transaction, and a cryptocurrency type value and a transaction amount value. A transaction locator circuit then determines a transaction location parameter in response to the transaction request value, wherein the transaction location is a geographic value or a jurisdiction value. A transaction execution circuit then provides a transaction implementation command in response to the transaction location parameter.

Systems and methods for forward market renewable energy credit prediction from business entity behavior data are disclosed. An example transaction-enabling system may include a forward market circuit to access a forward energy credit market and a market forecasting circuit to automatically generate a forecast for a forward market price of an energy credit in the forward energy credit market. The example system may include wherein the forecast is based at least in part on a business entity behavior collected from at least one business entity behavioral data source, and wherein the energy credit comprises a renewable energy credit associated a renewable energy system. The example system may further include a smart contract circuit to perform at least one of selling the renewable energy credit or purchasing the renewable energy credit on the forward energy credit market in response to the forecasted forward market price.

The present disclosure describes transaction-enabling systems and methods. A system can include a controller and a fleet of machines each having at least one of a compute task requirement, a networking task requirement, and an energy consumption task requirement. The controller may include a resource requirement circuit structured to determine an amount of a resource for each of the machines to service at least one of the task requirements, a resource market circuit to access a resource market, and a resource distribution circuit to execute an aggregated transaction of the resource on the resource market in response to the determined amount of the resource for each of the machines.

Transaction-enabling systems and methods are disclosed. A system may include a controller to interpret a resource utilization requirement for a task system and a plurality of external data sources. The system may further include 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. Then, in response to the predicted forward market price, the controller may execute a transaction on a resource market.

Transaction-enabling systems and methods are disclosed. A system may include a fleet of machines each having a task resource requirement. A controller may include a resource requirement circuit to determine an amount of a resource required for each of the machines to service the task and a resource distribution circuit structured to adaptively improve a utilization of the resource for each of the fleet of machines.

Systems and methods for aggregating transactions and optimization data related to energy and energy credits include a transaction-enabling system including a resource requirement circuit structured to aggregate a resource requirement for a fleet of machines to perform a task, wherein the resource requirement comprises an energy credit requirement; a forward resource market circuit structured to access a forward market for energy; and a machine resource acquisition circuit structured to execute a transaction on the forward market for energy in response to the aggregated resource requirement.

A rider interface for a vehicle includes a data processor configured to facilitate communication between a rider using the rider interface and the vehicle, the vehicle and the rider interface communicating location and orientation of the vehicle. An augmented reality system with a display is disposed to facilitate presenting an augmentation of content in an environment of the rider using the rider interface, the augmentation responsive to a registration of the communicated location and orientation of the vehicle, wherein at least one parameter of the augmentation is determined by machine learning on at least one input relating to at least one of the rider and the rider interface.

Transaction-enabled methods for providing provable access to a distributed ledger with a tokenized instruction set for semiconductor fabrication processes are described. A method may include accessing a distributed ledger including an instruction set for a semiconductor fabrication process and tokenizing the instruction set. The method may further include interpreting an instruction set access request and, in response to the access request, providing a provable access to the instruction set. The method may further include providing commands to a production tool of the semiconductor fabrication process in response to the instruction set access request, and recording the transaction on the distributed ledger.

A system for transportation includes a vehicle, a rider occupying the vehicle, and a hybrid neural network. The hybrid neural network includes a first neural network to process a sensor input corresponding to the rider to determine an emotional state of the rider, and a second neural network to optimize at least one operating parameter of the vehicle to improve the emotional state of the rider.

A system for transportation includes a vehicle occupied by a rider, an electronic commerce system of the vehicle, and an artificial intelligence system for processing data from an interaction of the rider with the electronic commerce system to classify a rider state and optimizing at least one operating parameter of the vehicle to improve the rider state.