Abstract: Embodiments of the present invention relate to systems and methods for implementing a mobile tokenization hub with a common tokenization capabilities (CTC) module that may provide tokenization for various entities in various contexts. For example, the CTC module can provide and store tokens for mobile payment transactions, transit transactions, digital wallet applications, merchant point of sale (POS) applications, personalization services, and the like.

Abstract: A user interface (UI), for analyzing model training runs, tracking and visualizing various aspects of machine learning experiments, can be used when training an artificial intelligent agent in, for example, a racing game environment. The UI can be web-based and can allow researchers to easily see the status of their experiments. The UI can include an experiment synchronized event viewer that can synchronizes visualizations, videos, and timeline/metrics graphs in the experiment. This viewer allows researchers to see how experiments unfold in great detail. The UI can further include experiment event annotations that can generate event annotations. These annotations can be displayed via the synchronized event viewer. The UI can be used to consider consolidated results across experiments and can further consider videos. For example, the UI can provide a reusable dashboard that can capture and compare metrics across multiple experiments.

Abstract: Imaging components and systems are described herein. An example imaging component can include: a housing; at least one excitation optical element at least partially disposed within the housing; at least one laser-guiding element at least partially disposed within the housing, the at least one laser-guiding element being configured to deliver excitation pulses to a target location through the at least one excitation optical element via an aperture; and a signal collecting element disposed adjacent to the at least one excitation optical element.

Abstract: Dynamic driving aides, such as driving lines, turn indicators, braking indicators and acceleration indicators, for example, can be provided for players participating in a racing game. Typically, driving lines are provided for each class of cars. However, even within a class of cars, each car differs enough that the ideal driving lines and breaking points can vary. Therefore, with an agent trained via reinforcement learning, an ideal lines and other driving aides can be established for every individual car. These guides can even be varied to account for variations in the weather or other track conditions.

Abstract: Systems and methods for generating instructions for a vehicle to navigate an unsignaled intersection are provided. The method may include: generating an expected return over a sequence of actions of the vehicle; determining an optimal policy by selecting an action with a maximum value for the vehicle; executing dynamic frame skipping to expedite learning a repeated action of the vehicle; prioritize an experience replay by utilizing an experience replay buffer to break correlations between sequential steps of the vehicle; generate a plurality of state-action representations based on at least one of the expected return, the optimal policy, the dynamic frame skipping, or the prioritized experience replay; generate the instructions for navigating the unsignaled intersection based on the plurality of state-action representations; and transmit the instructions for navigating the unsignaled intersection to the vehicle such that the vehicle executes the instructions to navigate the unsignaled intersection.

Abstract: A method and system for teaching an artificial intelligent agent includes giving the agent several examples where it can learn to identify what is important about these example states. Once the agent has the ability to recognize a goal configuration, it can use that information to then learn how to achieve the goal states on its own. An agent may be provided with positive and negative examples to demonstrate a goal configuration. Once the agent has learned certain goal configurations, the agent can learn an option to achieve the goal configuration and a distance function that predicts at least one of a distance and a duration to the goal configuration under the learned option. This distance function prediction may be incorporated as a state feature of the agent.

Abstract: Embodiments of the present invention relate to systems and methods for implementing a mobile tokenization hub with a common tokenization capabilities (CTC) module that may provide tokenization for various entities in various contexts. For example, the CTC module can provide and store tokens for mobile payment transactions, transit transactions, digital wallet applications, merchant point of sale (POS) applications, personalization services, and the like.

Abstract: Embodiments of the present invention relate to systems and methods for implementing a mobile tokenization hub with a common tokenization capabilities (CTC) module that may provide tokenization for various entities in various contexts. For example, the CTC module can provide and store tokens for mobile payment transactions, transit transactions, digital wallet applications, merchant point of sale (POS) applications, personalization services, and the like.

Abstract: Embodiments of the invention are directed to methods, apparatuses, computer readable media and systems for processing transactions using conversion or filtering of restricted information. One embodiment of the invention is directed to a method comprising receiving, at a server computer located outside a restricted zone, a transaction request message including an unrestricted account alias, wherein the unrestricted account alias was previously converted from a restricted account identifier into the unrestricted account alias by a server computer located in a restricted zone. The server computer located outside the restricted zone may determine an account associated with the unrestricted account alias and process the transaction request message. Similar methods may be applied to settlement files including an unrestricted account alias that is converted to a restricted account identifier. Other embodiments are directed to filtering restricted information from service requests or other transactions.

Abstract: A method and system for training and/or operating an artificial intelligent agent can use multi-input and/or multi-forecast networks. Multi-forecasts are computational constructs, typically, but not necessarily, neural networks, whose shared network weights can be used to compute multiple related forecasts. This allows for more efficient training, in terms of the amount of data and/or experience needed, and in some instances, for more efficient computation of those forecasts. There are several related and sometimes composable approaches to multi-forecast networks.

Abstract: Techniques for conducting a transaction in a wireless communication system are described. The techniques may include detecting a transmission from a wireless communication device, determining that the transmission includes a transaction service identifier, and invoking a transaction application associated with the transaction service identifier. The techniques may also include receiving transaction information for a transaction associated with a transaction identifier mapped to the device identifier; and sending a transaction cryptogram from the transaction application to the wireless communication device to conduct the transaction.

Abstract: A method and system for teaching an artificial intelligent agent includes giving the agent several examples where it can learn to identify what is important about these example states. Once the agent has the ability to recognize a goal configuration, it can use that information to then learn how to achieve the goal states on its own. An agent may be provided with positive and negative examples to demonstrate a goal configuration. Once the agent has learned certain goal configurations, the agent can learn an option to achieve the goal configuration and a distance function that predicts at least one of a distance and a duration to the goal configuration under the learned option. This distance function prediction may be incorporated as a state feature of the agent.

Abstract: Systems and methods for generating instructions for a vehicle to navigate an unsignaled intersection are provided. The method may include: generating an expected return over a sequence of actions of the vehicle; determining an optimal policy by selecting an action with a maximum value for the vehicle; executing dynamic frame skipping to expedite learning a repeated action of the vehicle; prioritize an experience replay by utilizing an experience replay buffer to break correlations between sequential steps of the vehicle; generate a plurality of state-action representations based on at least one of the expected return, the optimal policy, the dynamic frame skipping, or the prioritized experience replay; generate the instructions for navigating the unsignaled intersection based on the plurality of state-action representations; and transmit the instructions for navigating the unsignaled intersection to the vehicle such that the vehicle executes the instructions to navigate the unsignaled intersection.

Abstract: A method and system for teaching an artificial intelligent agent where the agent can be placed in a state that it would like it to learn how to achieve. By giving the agent several examples, it can learn to identify what is important about these example states. Once the agent has the ability to recognize a goal configuration, it can use that information to then learn how to achieve the goal states on its own. An agent may be provided with positive and negative examples to demonstrate a goal configuration. Once the agent has learned certain goal configurations, the agent can learn policies and skills that achieve the learned goal configuration. The agent may create a collection of these policies and skills from which to select based on a particular command or state.

Abstract: Techniques for conducting a transaction in a wireless communication system are described. The techniques may include detecting a transmission from a wireless communication device, determining that the transmission includes a transaction service identifier, and invoking a transaction application associated with the transaction service identifier. The techniques may also include receiving transaction information for a transaction associated with a transaction identifier mapped to the device identifier; and sending a transaction cryptogram from the transaction application to the wireless communication device to conduct the transaction.

Abstract: Techniques for conducting a transaction in a midrange wireless communication system are described. The techniques may include detecting a beacon transmission from a midrange wireless base station, determining that the beacon transmission includes a transaction service identifier, and invoking a transaction application associated with the transaction service identifier. The techniques may also include receiving transaction information for a transaction associated with a transaction identifier mapped to the device identifier; and sending a transaction cryptogram from the transaction application to the midrange wireless base station to conduct the transaction.

Abstract: Embodiments of the present invention relate to systems and methods for implementing a mobile tokenization hub with a common tokenization capabilities (CTC) module that may provide tokenization for various entities in various contexts. For example, the CTC module can provide and store tokens for mobile payment transactions, transit transactions, digital wallet applications, merchant point of sale (POS) applications, personalization services, and the like.

Abstract: Embodiments of the present invention relate to systems and methods for implementing a mobile tokenization hub with a common tokenization capabilities (CTC) module that may provide tokenization for various entities in various contexts. For example, the CTC module can provide and store tokens for mobile payment transactions, transit transactions, digital wallet applications, merchant point of sale (POS) applications, personalization services, and the like.

Abstract: Embodiments of the invention are directed to methods, apparatuses, computer readable media and systems for processing transactions using conversion or filtering of restricted information. One embodiment of the invention is directed to a method comprising receiving, at a server computer located outside a restricted zone, a transaction request message including an unrestricted account alias, wherein the unrestricted account alias was previously converted from a restricted account identifier into the unrestricted account alias by a server computer located in a restricted zone. The server computer located outside the restricted zone may determine an account associated with the unrestricted account alias and process the transaction request message. Similar methods may be applied to settlement files including an unrestricted account alias that is converted to a restricted account identifier. Other embodiments are directed to filtering restricted information from service requests or other transactions.

Abstract: Techniques for conducting a transaction in a midrange wireless communication system are described. The techniques may include detecting a beacon transmission from a midrange wireless base station, determining that the beacon transmission includes a transaction service identifier, and invoking a transaction application associated with the transaction service identifier. The techniques may also include receiving transaction information for a transaction associated with a transaction identifier mapped to the device identifier; and sending a transaction cryptogram from the transaction application to the midrange wireless base station to conduct the transaction.