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OPEN A.I. TECHNOLOGIES  INTEGRATION
PART 2 - ANNOTATIVE WORLD

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TWO FACES WORLD

Augmented reality constitutes a hybrid environment where real physical objects and locations appear and integrate with a virtual reality which, connected to them, creates a new extension of the worlds commonly referred to as augmented reality.
Users who use APP4AR access APPs that connect the two components of the environment and the actions that are performed, the data that is entered, and the events that occur, have a real part and a virtual part, straddling the two environments.
Placing an active object in a physical location means that the virtual world is aware of it. Thus, for example, the encounter of a user with a real object, the framing, selection and activation of the underlying virtual reality, involves a lot of events with two faces: a part relating to the real world and a part relating to the augmented world , virtual.

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A.I. ANNOTATION ICON

COGNITIVE ANNOTATIONS IN THE  2 FACES WORLD?

Annotations are created by type of events and objects and are divided into the following classes:

  • - private annotations related to resources that are created in virtual reality and placed in real reality. These annotations constitute the cognitive support for the augmented reality creation and maintenance activities owned by an APP4AR customer.

  • - public annotations related to resources that are created in virtual reality and placed in real reality. These annotations constitute the cognitive support available to APP4AR3D users so that they can discover and interact with the augmented reality of the customer who requests these annotations for their own augmented reality

  • - events annotations of the events that occur, which take place in the real and virtual components of the APP4AR environment.

  • These are attributable to the users who move and act in augmented reality and constitute a cognitive basis for ANALYTICS based on A.I. Cognitive Generator.

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COGNITIVE ANNOTATION TYPES

COGNITIVE MODELS?

The APP4AR COGNITIVE ECOSYSTEM is structured with several Open AI Models (formerly called cognitive engines).
- the cognitive model for real and virtual objects for public use: in this cognitive model the centralized procedures in Azure Cloud regularly enter the descriptive paragraphs of the real and virtual objects of public nature that APP4AR CLIENTS create.
- many cognitive models for real and virtual objects for private use: in this cognitive model the centralized procedures in Azure Cloud regularly enter the descriptive paragraphs of the real and virtual objects of a private nature that APP4AR CUSTOMERS create for the management of their presence in reality increased. EACH CUSTOMER HAS HIS COGNITIVE MODEL OF OBJECTS IN AUGMENTED REALITY
- the cognitive model of events generated in augmented reality originating from users' navigation and interaction with augmented reality

COGNITIVE MODELS

PARAGRAPHS: A.I. Cognitive Services of Language and Cognitive Models

The models are fed by feeding the cognitive networks of paragraphs which, in natural language, describe the evolution of augmented reality.
Dedicated and centralized feeding procedures (embedding) in Azure Cloud generate when an evolutionary fact of augmented reality is identified, many descriptive paragraphs of what happened.
The paragraphs are TEMPLATES entered by APP4AR in the base language which, passed to the language cognitive services, feeds all the cognitive versions in the supported languages in parallel [currently US and UK English, Italian, Portuguese Portugal and Brazil, French, standard Spanish and Mexican, German]
AI models cognitive services indicated in the panel above ARE maintained in ALL languages supported by the cognitive services of the APP4Ar Language. In this way, the interaction and creation of A.I. can take place in the most effective way using the language of the connected user or of the Client

COGNITIVE MODELS 6 LANGUAGE COGNITVE SERVICES

ROLES - PRIVACY
CLIENTS interested in creating their own personal cognitive environment and in feeding the cognitive engine of public ed private annotations, must :

  • - declare that they adhere to the A.I. cognitive services by signing the SMART CONTRACT underlying these services;

  • - assume the CognitiveAI Low, Normal or Hight role by creating the account for that role in the dedicated application corner, or by declaring which pre-existing account they intend to use for that role;

  • - a Smart Contract is created and the address is communicated to the customer. The creation cost is charged to the customer's main account;

  • - access the Smart Contract and accept the economic conditions provided. The role specifies the [regular, low frequency, or high frequency] update frequency. This results in different rates for the processed tokens. The number of tokens depends on the type of annotation and on the specific annotation that can develop different quantities of paragraphs;

  • - Subscription involves cognitive feeding for all languages supported by APP4AR

COGNITIVE AI: ROLES 

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