VANI.

Voice Analysis And Neural Interpretation

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VANI

My Eden AI is not only a platform for innovation but it also inspires the minds of our generation to transform this world better than imagination, and thoughts into action for the betterment and advancement of AI and the development of society, humanity, and Earth as a whole.

Roadmap

  1. Beginning

    2023

    Generation 53.0

  2. Voice Modelling

    2023

    Generation 52.0

  3. Evolution

    2023

    Generation 50.0

  4. API Launch

    2023

    Generation 52.0

  5. Expansion

    2023

    Generation 53.0

Research

ACT Model has 301 neurons which actually utilizes processing also the neuron based on data compression (MAKES EACH NEURON A INPUT NEURON) which also stores learned reference data in symbolic representation consisting of 6 symbols along with relative weights which makes her turing complete and the entire vast model is stored in a in-memory vector database which only uses index adjustment based on new learning and is static which makes her use less compute but utilizes more memory (RAM).

Limitations

ACT Model has 301 neurons which actually utilizes processing also the neuron based on data compression (MAKES EACH NEURON A INPUT NEURON) which also stores learned reference data in symbolic representation consisting of 6 symbols along with relative weights which makes her turing complete and the entire vast model is stored in a in-memory vector database which only uses index adjustment based on new learning and is static which makes her use less compute but utilizes more memory (RAM).

Training

ACT Model has 301 neurons which actually utilizes processing also the neuron based on data compression (MAKES EACH NEURON A INPUT NEURON) which also stores learned reference data in symbolic representation consisting of 6 symbols along with relative weights which makes her turing complete and the entire vast model is stored in a in-memory vector database which only uses index adjustment based on new learning and is static which makes her use less compute but utilizes more memory (RAM).

FAQ

Contact Sales. We have not released the public APIs for VANI, however one can integrate it for B2B solutions.

VANI can be used for educational and learning purpose. Our engine is capable of decision making and real time learning. We have already trained VANI engine with Different Voices, Pitch, Tone, Laughter etc. and the list is increasing day by day.

VANI can be trained for any kind of data. Businesses can train VANI for any subjects or statistics data they want.