Ann: Commercial Hardware Acceleration Board Released, page-630

Straight from the Bosses mouth, we are different to Deep learning companies.

Lou DiNardo: It’s important to recognise that autonomous learning in an artificial intelligence arena, is much different from what people call deep learning. Deep learning, you can think about Google, Microsoft, Intel and others, and taking larger databases and very very large sample sets, in order to match an object with an identification or classifier. We, (BrainChip) learns autonomously, there is no programming, there’sno mathematical computation, we put digital or synthetic synapse on a piece of silicon and it works like your brain. It starts to learn autonomously.

In some cases we have a model that’s been created, we have a face that we know, or trying to find a pattern that we know. That is supervised autonomous learning, so comparing to a model and coming up with a result.

Unsupervised autonomous learning is when we don’t know what we’re looking for. So you can imagine a drone flying over a battlefield that sees sand and sand and sand, but will then identify a pattern. We don’t know what it is, we just see an object and we find another object that’s different. We find a third object that’s different, we feed that back to commander control and they then label it and say it’s a tank, that’s a soldier, that’s a missile. And now we have autonomously in an unsupervised way, learned, labelled the data and then we can carry on with the mission.