Architectures, systems and methods having segregated secure and public functions
A system is provided for control of an entertainment state system having segregated secure functions and public functions for use by one or more users of the system. First, a public interface portal receives instructions regarding operation of the entertainment state system from the one or more users. The interface portal includes a first interface, a processor, a graphical user interface (GUI) coupled to the processor, a control unit in operative communication with the processor and graphical user interface, and a second interface providing an application program interface (API). Secondly, a secure entity unit is provided, the secure entity unit including a receive interface, the receive interface adapted to receive a call from the application program interface (API) of the interface portal, a send interface, the send interface adapted to provide a response to the interface portal interface, a game engine, and a financial engine.
1. A system for control of data having segregated secure functions in a segregated secure entity unit for use by secure users of the system and public functions in a public interface portal for use by one or more public users of the system, the system including an adaptive control unit including a cognitive computing unit, the cognitive computing unit using at least machine learning for training of the cognitive computing unit that is trained at least in part with human input for training, the system serving to generate content based on data input from one or more data sources, the data input being subject to transformation into content for output from the system, comprising:
the public interface portal adapted to receive instructions regarding operation of the system from the one or more public users, the public interface portal including:
a first interface to receive instructions from and communicate output to the one or more public users, the instructions including a data input of first content and the output including at least transformed second content,
a processor,
a graphical user interface (GUI) coupled to the processor,
a control unit in operative communication with the processor and graphical user interface, the control unit enforcing behavior in the segregated secure entity unit, and
a second interface providing an application program interface (API) adapted to send one or more call requests to the segregated secure entity unit and receive one or more responses from the segregated secure entity unit, and
the segregated secure entity unit being segregated from the public interface portal, the segregated secure entity unit being accessible only to the secure users of the system, the segregated secure entity unit including:
a receive interface, the receive interface adapted to receive the one or more call requests from the application program interface (API) of the public interface portal,
a send interface, the send interface adapted to provide the one or more responses from the segregated secure entity unit to the public interface portal,
the cognitive computing unit, the cognitive computing unit including at least a machine learning unit for training of the cognitive computing unit,
a training input to receive at least in part the human input coupled to the cognitive computing unit for training of the cognitive computing unit, and
a detector to receive the first content and to transform the first content using the cognitive computing unit into output content.
2. The system for control of data of claim 1 wherein the data input content is text.
3. The system for control of data of claim 2 wherein the output content is a machine translation of the text.
4. The system for control of data of claim 1 wherein the data input content is audio content.
5. The system for control of data of claim 4 wherein the output content is audio content of a chatbot.
6. The system for control of data of claim 4 wherein the audio content is music.
7. The system for control of data of claim 6 wherein the output content is synthesized music.
8. The system for control of data of claim 1 wherein the data input content are images.
9. The system for control of data of claim 8 wherein the output content is an image.
10. The system for control of data of claim 1 wherein the data input content is game play data.
11. The system for control of data of claim 1 wherein the training during the machine learning is supervised learning.
12. The system for control of data of claim 1 wherein the training during the machine learning is non-supervised learning.
13. The system for control of data of claim 1 wherein the training during the machine learning is reinforcement learning.
14. The system for control of data of claim 13 wherein the reinforcement learning provides a positive weighting to a neural network.
15. The system for control of data of claim 14 wherein the reinforcement learning provides a positive weighting to a feed forward neural network.
16. The system for control of data of claim 13 wherein the reinforcement learning provides a negative weighting to a neural network.
17. The system for control of data of claim 16 wherein the reinforcement learning provides a negative weighting to a feed forward neural network.
18. The system for control of data of claim 1 wherein the training during the machine learning identifies structure.
19. The system for control of data of claim 1 wherein the training during machine learning identifies patterns.
20. The system for control of data of claim 1 wherein the machine learning utilizes hyperparameters.