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A3iXTM Architecture

Transforming Business To Advanced Technology

PATENTS FILED: PCT/IB2018/051606 ; PCT/IB2018/051567; CA2018050284; CA2018050278(1-12), PCT/IB2018/052241



Corporate Applied Research, R&D

Advanced, Intelligent, Cyber Product Defintion, Applied Ai Aerovition's Applied Artificial Intelligence, AAA(A3i)

a3iNet©, HybridNetwork©, HybridNet© , is a a3ic.org, properitary Machine Learning, Ai Method





Corporate Business & Domain Transformation To Artificial Intelligence Platform



A3iXTM Architecture Provides quantitative Technology, Product Line Transformation Optimizing Analytic Solution to measureable Performance & Projection, via Forecasting, for Any Financial , Business or Engineering Domain.


Neural Network Design & Implementation of the followings in Large Scale Multi layered Systems of Systems, AGI, DL, Ai , in DoD, Expert systems Architecture:


Computational Medicine
Aviation, Aerospace
Automotive
Financial Governance
Neuro Computational Medicine
Nuclear Energy utilization

Patent No. 2997471

Publication(s)



  • Analytic Pipeline(s) In Business Transformation To Artificial Intelligence Platform, Optimizing A Multi layered, Multi Channel System Of Systems, An Applied (CNN, RNN, R-CNN) Neural Network , Machine Learning Approach in Configuration Control For Product Line Engineering, Of Critical Systems
    Click here For Published.pdf Version, HLD, LLD

  • Solution For Streaming Data Integration In A System Of Systems, Multi-layered Business Transformation.
    Click here For Published.pdf Version HLD, LLD

  • Solution For XML, JSON And Streaming, Catalog Data Integration In A System Of Systems, Multi-Channel Business Transformation Using SAP Hybris
    Click here For Published.pdf HLD, LLD

  • A Graph Based Approach For Next Generation Quantum PhotonIP Network System Design And Definition Absorbing Present Internet
    Click here For Published.pdf Version HLD, LLD




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    a3iNet's VectorMachine©, Vision For Advanced Space Communication, Travel & Federated Socio-Business Enhancement For The Complex Future,


    4:000 AM, March 25, 2018

    Real Time Intelligence:



    Abstract

    Our Industry research in Ai and ML has concluded that a Single Unified Network systems in Ai is not sufficient to accommodate completely and model a configuration control systems, sufficiently that meets the need in large scale critical systems product lines, such as Vehicles: Aerial and Underwater, Submarines, Aerospace and Airplane Systems, their definition and the ultimate products formulation, without having the possibility of being at loss, regression or risk. We propose a Hybrid Network Model, HybridNet© in Applied Machine learning, for such End To End Systems Design, Development and Training For Detection. Real Time Intelligent Network: a3iNet©, HybridNet©

    The Literature consists of 10 parts

    Part -1 Solution For Auto And Underwater Vehicle Configuration Using a3iNet©
    Part -2 Solution For Aero And Air Systems Configuration Using a3iNet©
    Part -3 Solution For Space And Extra Terrain System Configuration Using a3iNet©
    Part -4 Solution For Embedded And Control System Configuration Using a3iNet©
    Part -5 Solution For Bio Medical Systems Configuration Using a3iNet©
    Part -6 Solution For World Wide Financial And Control System Configuration Using a3iNet©
    Part -7 Solution For Human Bio Physical (Organ) & Quantum Bio Physical Systems Configuration or Research, in Reverse Bio Physics Using a3iNet©
    Part -8 Solution For World Wide Transportation Systems Configuration (Aerial, Terrain or Space) Using a3iNet©
    Part -9 Solution For Geo-Physical or Atmospherics Systems Configuration , Using a3iNet©
    Part -10 Solution For Thermonuclear Research in Accelerator /Quantum Physics Using a3iNet©
    Solution for Microprocesor and Semi conductor industry.

    Applicable Domain Includes: World Bank's Financial Systems-Programs For Development Countries and Relief, Management, in Multi Sector Investments.

    Abstract

    Existing IPv4 or IPv6 based internet ”infrastructure” may be made capable, to be viable to accommodate Next generation Internet, Quantum IP Network, communication with a few adoptable propositions while a transition and design for Quantum ”IP” and topology definition takes place. In this literature we propose such a step towards so


    Abstract

    The following article demonstrates a solution proposed to design highly resilient distributed streaming data (RDD, byte) processing , in compliance with open systems standards, for seamless integration across industry partners and independent subscribers . The solution is maintained under ownership of Aerovition Digital Inc. as a standard approach to resolved complexity , in machine learning and applied artificial intelligence algorithms and theory, for customers, who execute product line in a Multi layered, Very Large Scale System of Systems formulated business domain for Transformation and Integration with advanced technology.

    Application:
    Next Generation Vehicle Systems, Land-to-Air Flying Vehicles, Guidance Systems, Transportation Systems,Aerospace, Risk Mitigation/Finance/Banking Analytics.

    Abstract

    The following article demonstrates a solution proposed to design highly resilient distributed streaming data (JSON, XML) processing, using SAP Hybris and integrate with a Search Engine that is built using JSON API for seamless integration across industry partners and independent digital product subscriber, for Digital Ecommerce. The solution is maintained under ownership of Aerovition Digital Inc. as a standard approach to resolved complexity in JSON processing for catalog data intake, or transactions via hand held devices, for customers, who execute product lines in a Multi layered, Digital Ecommerce, in a Cloud Environment, in a Very Large Scale System of Systems, in structure, for Digital Media products distribution, using using Multi Channels, for business Transformation and Integration.


    Continuous Research Areas:

    Applied Research Using
    Application of

    CNN
    RNN
    R-CNN
    DNN
    SGD
    Reinforcement Learning

    Model Implementation , ML Techniques in Perceptron Implementation:

    Supervised Un Supervised Learning ,Support Vector Machine SVM, regression analysis.

    Gaussian Mixture Model
    K Means Clustering
    Ensemble Method as Random Forest
    Regularization Methods basedon Bayes Priors
    sigmoid Determination for activations
    Hierarchical Bayes Model


     

     











     


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