Human Artificial Intelligence is iterative learning. It is the Azaries pattern discovery process.
Azaries discovers meaningful patterns in data and produces rule sets for use in real world applications. We use constant and never ending improvement through adaptation and refinement which has exponential improvement results.
For example.
AI models often struggle with accuracy particularly when the number of samples are low, Azaries excels in this domain.
The novel methodology of Azaries HAI has been recognised by the UK government by way of an innovation award.
Technique spinning: Azaries selects calculations and comparisons that are the most applicable and accurate solutions for a specific application. For example, chess winning AI software cannot drive a car and drug discovery AI isn’t any use in election predictions.
Resource spinning: Azaries iterative processes make predictions which are also continuously changing to data conditions.
This is the future of AI. Organisations and people who know how to use AI for human advantage will be the ultimate beneficiaries.
For the technical folks, this means decision trees, neural networks, inductive logic, bayesian techniques, regression calculations, clustering medians, chi-squared analysis and deep machine learning.
