Web 2.0 Inverse [1/2.0] Powered By Neural Networks Bringing Oneness To The Web Presented By:- Ajit Singh, Co-Founder STuNNets.

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Presentation transcript:

Web 2.0 Inverse [1/2.0] Powered By Neural Networks Bringing Oneness To The Web Presented By:- Ajit Singh, Co-Founder STuNNets

The Agenda Evolution Of Internet And Web 2.0 Unrealized Problem Web 2.0 Inverse [1/2.0] STuNNets, An Experiment With [1/2.0] Business, Future And Hope Powered By Neural Networks [1/2.0]

The Evolution-Agent (EA) Framework Powered By Neural Networks [1/2.0]

The Internet – Pre 1992 Powered By Neural Networks [1/2.0] Individuals Using The Internet

The Internet – Powered By Neural Networks [1/2.0] Individuals Using The Internet Advertising & Affiliate Programs Search Engines & Portals

The Internet – 2002-Till Date [2.0] Powered By Neural Networks [1/2.0] Advertising & Affiliate Programs Search Engines & Portals Social Networking, User Owning Data & Common Intelligence. Rich UI.

The Un-Realized Problem - Issues Technology Agent Still In The Usage Phase Business Agent Trying Hard To Cover The Imbalance Dot Com Burst 2.0 In Making Powered By Neural Networks [1/2.0]

The Un-Realized Problem - Solution Web 2.0 Inverse [1/2.0] Powered By Neural Networks [1/2.0]

Web 2.0 Inverse [1/2.0] Leveraging The Technological Agent  Node Based Development  Knowledge Sharing Between Nodes  Non-Algorithmic Approach Towards Development  Usage Of Non-Linear Data Processing Paradigms Like Neural Networks, Genetic Algorithms, Chaos Theory And Other Statistical Data Oriented Models Powered By Neural Networks [1/2.0]

The Oneness Of Web Powered By Neural Networks [1/2.0] Web 2.0 Web 2.0 Inverse

STuNNets- A Tryout With [1/2.0] STuNNets Expands To Stock Prediction Using Neural Networks Predicts Stock Prices For A Period Of Days Predicts For Almost All The Stocks That Are Listed On BSE & NASDAQ An Implementation Of Web 2.0 Inverse Framework Powered By Neural Networks [1/2.0]

STuNNets – How It Works? Learning & Understanding The Market  Analyses A Group Of Stock Of An Exchange  Searches And Encodes Hidden Patterns  Using Neural Networks, Knowledge Is Encoded, Which is Called Exchange Knowledge  NASDAQ Knowledge & BSE Knowledge Using This Knowledge STuNNets Predicts The Future Prices Powered By Neural Networks [1/2.0]

STuNNets – Development Powered By Neural Networks [1/2.0]

STuNNets – Results Speak 18% to 22% Reduction In Mean Squared Error Per Prediction Powered By Neural Networks [1/2.0]

STuNNets – Conclusion More The Knowledge Sharing, Better The Predictions.  Needs To Cover More Exchanges  Need For Lateral Expansion. Example: - Oil Price Knowledge, FOREX Knowledge etc. Powered By Neural Networks [1/2.0]

[1/2.0] - Business, Risk And Hope A Black-Hole Of Opportunities  For New Kind Of Business Models  For New Kind Of Technological Services A Need For Venturesome Individuals From Business And Technology To Drive Into This New Paradigm “The Early Bird Advantages!” Powered By Neural Networks [1/2.0]

Thank You! Powered By Neural Networks [1/2.0] Conceptualized By: - Ankur Sharma, Co-Founder STuNNets With Contributions From: - Ajit Singh, Co-Founder STuNNets Nishant Trivedi, Co-Founder STuNNets