Machine learning is how Google, Apple and other cloud services provide searching and voice recognition.  ML is how robots and other autonomous systems can best make sense of the world they inhabit.  It is recognised as the best approach to analysing unstructured data like text, pictures, video or sound in order to categorise and recognise its content and to associate the content with meaning.

ML implementations cut into two architectures (biomimetic or theoretic) and two embodiments (hardware or software). 

Artificial Learning’s focus is on theoretic hardware but our technology also has application in biomimetic hardware.