RIC or Rock Identification computer started as a side project as a way of quickly quantifying similar rock types.
The project has grown somewhat, now using over 70,000 labelled samples, of rocks, minerals and ore types from around the world.
RIC has dovetailed in with the RPOD project and allowed us a jump start in this field.
Our nect steps for RIC is to add a natural language processing, that RIC can be asked a geological question, and appropriately answer.
Natural-language processing (NLP) is an area of computer science and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to fruitfully process large amounts of natural language data. Read more about Natural language processing here
Why are we bothering to do this?
RIC serves as a test bed for when we want to work with new people. We get the new people to work on a RIC project, to see their work ethic, how passionate they are, and if they can be trusted. This way we don’t have to expose any of the ways that our proprietary AI operates.